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WHO WE ARE Sapien is rethinking how finance teams operate in the age of AI. We’re building toward an autonomous CFO—systems that run company financials end-to-end. Our platform analyzes complex financial data in real time to increase decision cadence, prevent costly mistakes, and surface value. Sapien has caught multi-million-dollar errors, saved thousands of jobs, and returned significant dollars to customers’ bottom lines. We partner with traditional businesses—manufacturing, healthcare, restaurants, and large enterprises—to deeply understand and automate their financial workflows. We’re HQ’d by Madison Square Park in NYC and backed by General Catalyst, Neo, and top operators from Google, OpenAI, Microsoft, Ramp, and Stripe (over $9M raised). THE ROLE You'll build the AI agent capabilities that power Sapien's autonomous finance operations. This means designing novel architectures for reasoning over complex financial data, implementing verifiable and observable agent workflows, and building systems that learn and adapt to each company's unique operations. This is a research-meets-product role. You'll work on cutting-edge agent capabilities—from observability and library learning to semantic search and multi-modal parsing—and ship them directly into production for customers. WHAT YOU'LL DO * Design and implement agent architectures that enable observability, human-in-the-loop verification, and precise context control across complex financial workflows. * Build library learning systems that reduce LLM dependencies by learning reusable patterns for planning, code generation, and data localization from customer interactions. * Create graph-based company representations and develop efficient search methods using embeddings, semantic clustering, and custom retrieval strategies. * Build multi-modal parsers that unify diverse financial data sources (Excel, ERPs, CRMs) into coherent, queryable schemas that agents can reason over. * Design benchmarking and evaluation suites that quantify Sapien's accuracy, reliability, and business impact across different customer workflows. WHAT WE'RE LOOKING FOR * Strong algorithmic thinking. Demonstrated through ML research, competitive programming, mathematics, or building novel systems from scratch. * Experience with modern agent frameworks, LLMs, and AI systems: fine-tuning, retrieval augmentation, tool use, or agentic architectures. * Comfort working end-to-end: from implementing research ideas and prototyping architectures to deploying production systems and iterating on real customer feedback. HOW YOU WORK (VALUES WE CARE ABOUT) * Adaptability: You thrive on diverse, open-ended problems. One day you're implementing a new agent architecture, the next you're debugging a customer data issue—and you bring the same intensity to both. * Ownership: You take problems from research paper to production. You don't wait for direction—you identify what needs to happen and drive it to completion. * Opinionated: You have strong technical perspectives on what works and what doesn't. You push back on approaches you disagree with and make the team's thinking sharper. * Mission-driven: You're energized by building AI that transforms how businesses run. You connect technical decisions to real customer outcomes and care deeply about the impact. * Collaborative excellence: You share knowledge, give thoughtful feedback, and invest in making the team better. You bring new ideas from papers and discussions to elevate everyone's thinking.
We want to create a different kind of banking and shopping experience. Northmill was founded in 2006 and the main office is in Stockholm and Engineering Center site located in Poland. Grab this opportunity to be a part of us and our journey! The scope of your role: As a Senior Applied AI Analyst, you will work across business departments and product engineering teams to discover, analyse and validate high-value opportunities for process automation. This role combines business and process analysis with hands-on AI prototyping and a solid understanding of software engineering. You will work directly with process owners and operational teams to understand how work is performed today, identify bottlenecks and repetitive activities, assess the potential value of improvements, and turn the most promising opportunities into testable AI-enabled solutions. You will actively search for opportunities rather than wait for predefined requirements. Once an idea is validated, you will work with Product Engineers and the AI Platform team to shape the production approach and transfer ownership to the relevant product team. You will be responsible for: Working with process owners and business teams to understand and map existing processes Identifying bottlenecks, manual work and opportunities for AI-assisted or automated workflows Translating business problems into clear use cases, requirements and testable hypotheses Assessing business value, feasibility, data readiness, operational risk and required controls Building and validating lightweight prototypes, independently or together with engineering teams Defining success metrics, acceptance criteria and evaluation scenarios Recommending whether a process should be assisted, partially automated or fully automated Supporting Product Engineers in moving validated solutions toward production Embedding with product teams when needed to support implementation, adoption and knowledge transfer Sharing reusable patterns and providing feedback to the AI Platform Team You will work with: Amazon Bedrock, Amazon Quick and other foundation-model platforms Agentic workflows and tool-based integrations Company data, documents and internal systems REST APIs and event-driven integrations .NET, C# and TypeScript Modern AI development and prototyping tools such as Claude Code, Cursor and GitHub Copilot Required qualifications: 5+ years of commercial experience in software engineering, business analysis, process automation, AI engineering or a related role Strong ability to analyse, map and improve business processes Experience working directly with process owners, operational teams and business stakeholders Ability to turn unclear business problems into structured use cases, requirements and experiments Hands-on experience building or contributing to AI-enabled prototypes or automation workflows Strong product mindset and focus on measurable business outcomes Solid understanding of software engineering, APIs and system integrations Understanding of AI security, privacy and operational risks Preferred qualifications: Experience with Amazon Bedrock, Amazon Quick or similar services Experience with process mining, workflow engines or business-process redesign Experience with agent tools, MCP or AI-enabled integrations Experience with document extraction, classification or knowledge-based AI solutions Experience supporting a solution from discovery through production handover Experience in banking, fintech or another regulated industry About you? You’re a creative and curious person with a genuine passion for software development. Like us, you love learning, staying up to date with the latest tech trends, and writing clean, high-quality code. You’re comfortable sharing your thoughts, raising problems early, and contributing to thoughtful solutions. You thrive in a team environment and have experience working in an Agile setup. As we’re a multicultural team, strong proficiency in English is required. Fluency in Swedish will be a great asset. We offer: A fantastic office in a prime Stockholm location with great spaces and views. An independent role with the opportunity to make a real impact. Great opportunities for professional development. Support for sporting activities (a SEK 5,000 wellness allowance). Life insurance. Breakfast and fruit in the office every day, plus a Friday afternoon coffee break. Regular after-work get-togethers on Fridays and celebrations of successes in the office. About Northmill Bank A Swedish bank with the heart in the technique. 2.500 merchants. 600.000 end users. over 300 employees in 3 different countries, including Engineering Center hiring c.a. 90 experienced engineers. The goal? To improve financial life by being digital, yet personal. Apply today and be a part of Northmill!
Columbus fortsätter att utveckla sin AI & Automation-förmåga och söker nu en Senior Applied AI Solution Architect som vill vara med och designa nästa generations AI-lösningar för enterprise-miljöer. I den här rollen arbetar du i skärningspunkten mellan affär, arkitektur och realisering. Du är med och omsätter affärsbehov och use cases till robusta, säkra och integrerade AI-lösningar med tydlig koppling till verksamhetsprocesser, affärssystem och kundvärde. Det här är en roll för dig som vill kombinera teknisk tyngd med verklig affärsrelevans Arbetsuppgifter I rollen som Senior Applied AI Solution Architect designar du hållbara och affärsnära AI‑lösningar baserat på affärsbehov, use cases och kundens miljö. Du är involverad tidigt i initiativ och omsätter idéer till tydlig lösningsarkitektur och realiserbar design. Du definierar arkitekturmönster för moderna AI‑tillämpningar, såsom LLM‑baserade applikationer, RAG‑lösningar, agentiska upplägg och AI‑stödda arbetsflöden, samt utformar integrationsmönster mot affärssystem, API:er, externa tjänster och verksamhetsdata. I arbetet säkerställer du rätt nivå av säkerhet, identitet, governance och observability. Rollen innefattar nära samarbete med kollegor inom Data, AI & Automation och ERP. Du bidrar även till utvecklingen av gemensamma arbetssätt, tekniska principer och kvalitetsnivåer inom Columbus AI & Automation‑erbjudande. Kravprofil Vi tror att du har Dokumenterad erfarenhet av att designa och realisera LLM‑baserade AI‑lösningar i enterprise‑miljöer, från tidig design till produktion. Erfarenhet av moderna AI‑arkitekturmönster, såsom RAG‑lösningar och agentiska upplägg, inklusive context engineering, promptdesign, orkestrering och kvalitetssäkring. God erfarenhet av integration av AI‑lösningar via API:er, connectors, skills, MCP eller motsvarande mönster mot affärssystem och verksamhetsdata. God förståelse för säkerhet, identitet, access control, governance och ansvarstagande AI, samt hur detta omsätts i praktisk lösningsdesign i molnbaserade miljöer (gärna Microsoft/Azure). Please Note - This position is located in Sweden and requires a valid working VISA and fluency in Swedish and English. Ansökan och nästa steg Hos oss ansöker du enkelt med din LinkedIn-profil eller ditt CV, utan att behöva fylla i långa frågeformulär. Du behöver inte skicka in något personligt brev. I vår rekryteringsprocess använder vi logik- och personlighetstester. Vi tar alltid referenser och genomför en bakgrundskontroll innan anställning eller erbjudande ges. Intervjuer sker löpande. Vid frågor är du välkommen att kontakta ansvarig rekryterare Daniel Sparrow. Efter avslutad rekryteringsprocess skickar vi en fråga om din upplevelse som kandidat. Det tar bara någon sekund att besvara frågan och hjälper oss att förbättra vår rekryteringsprocess. Om Data & AI Vilka är vi? Vi är ett team med BI-konsulter som levererar data- och AI-projekt inom Business Intelligence, AI och Machine Learning. Vi samarbetar nära med konsulter från andra affärsområden – Dynamics, M3 och Digital Commerce. Varför? Vi vill hjälpa våra kunder att nå sina affärsmål och göra deras vardag mer effektiv! Målet är att säkerställa deras långsiktiga framgång och guida kunderna genom att vara deras Trusted Advisor. Vi samarbetar med kunderna för att optimera deras lösningar. 💫 Jobba på Columbus Människorna kommer alltid först på Columbus. Vi är ett globalt konsultbolag med lokal närvaro, som hjälper företag med deras digitala förändring och att blomstra genom teknik, data och mänsklig insikt. Vi är också en arbetsplats där du som medarbetare får utveckla din karriär och få stöd genom tydliga och strukturerade karriärvägar. Vår kultur bygger på tillit, samarbete, nyfikenhet och ett gemensamt engagemang för att leverera värde till våra kunder. Oavsett om du är erfaren eller precis i början av din karriär, kommer du att hitta friheten att utforska idéer, utmana det invanda och forma din egen väg hos oss. Med över 1 500 kollegor i fler än 10 länder kombinerar vi globala perspektiv med lokal förståelse. Det som förenar oss är vår tro på att skapa en meningsfull påverkan – för våra medarbetare, våra kunder och resan framåt. Let’s thrive, grow, and shape the future together! ⭐ Vad andra säger om oss Intresserad av Columbus bakom kulisserna? Varje vecka låter vi en kollega ta över vårt Instagram-konto. På Careereye kan nuvarande och tidigare medarbetare dela sina ofiltrerade omdömen om hur det är att arbeta hos oss. Klicka nedan för att läsa deras upplevelser.
WE'RE UNLOCKING ACCESS TO THE NHS, BECAUSE HEALTHCARE IS NOT TRULY FREE UNTIL IT'S TRULY ACCESSIBLE 💙 The world’s best healthcare, for free. It's not a new idea, it's called the NHS. But the largest healthcare provider is fundamentally broken. Patient satisfaction is at an all time low, and the biggest reason cited is lack of access. So we’re on a mission to fix it with technology that actually works. We're building the front door of UK healthcare, creating a future where one billion NHS appointments are transparent and instantly bookable, and patients are guided to the right service first time using AI. We're developing critical national infrastructure. Today, 26% of GP practices in England use our patient registration software, while one in five GP practices in London use Bookable Search to help new patients find and book appointments seamlessly. Our latest product, Bookable Navigator, extends this vision by automatically booking appointments for existing patients. We operate from within a working GP practice in East London 🏥 We're backed by Y Combinator, Innovate UK and the NHS Clinical Entrepreneur Programme, and were previously ranked the 8th fastest-growing startup in the UK and 33rd fastest-growing in Europe 🚀 ⛩️ OUR PRINCIPLES Exciting challenges lie ahead. Guided by our principles, we’ll meet these challenges with a thoughtful and caring approach. These principles drive everything we do at Healthtech-1: 1. 💙 Care deeply 2. 🏋️♀️ Work hard 3. 🤝 Be your word 4. 💬 Trust in radical truth and transparency 5. 🚀 Do your life's best work 6. 🥳 Find the fun Read more about our principles and our "why" in the Healthtech-1 Handbook. Why this role matters 35% of NHS staff time is spent on admin. That’s the opportunity. Our first product is already used by 26% of GP practices in England, and we’re now scaling a platform that transforms how patients and clinicians interact with healthcare. As one of our Senior Product Engineers ,you’ll own and shape the experiences used every day by patients and clinicians where performance, clarity, and reliability directly impact care. WHAT WE’RE LOOKING FOR We're reimagining how technology, data, and AI can empower every team across the business. You'll help build the platforms, tooling, and guardrails that enable teams to move faster while maintaining the highest standards of quality, security, and reliability. Our goal is to make it possible for anyone in the company to safely bring ideas to life and see their impact in production. Some of the challenges you'll tackle include: * Designing modern engineering workflows that accelerate delivery, increase autonomy, and improve developer experience across the organisation. * Building shared tools and platforms that make information accessible, discoverable, and actionable for every team. * Connecting knowledge across departments, enabling insights from customer conversations, support interactions, product discussions, and operational meetings to be surfaced whenever and wherever they're needed. * Creating a unified, queryable data ecosystem that breaks down silos and allows people to ask meaningful questions across the entire business. * Leveraging AI and automation to uncover opportunities, identify trends, and surface insights before anyone even knows to ask the question. * Developing systems that amplify the impact of individuals and teams by sharing best practices, highlighting successful approaches, and accelerating the adoption of new ideas across the company. This is an opportunity to work on foundational technology that influences how the entire organisation collaborates, learns, and delivers value to customers Our Tech Stack: * Fullstack (Backend leaning): React, TypeScript (core focus) * APIs: Designing and consuming scalable, well-structured services * Data: Working with production systems and performance considerations * AI: Integrating modern AI models into real-world healthcare workflows * Experience in scaling product environments or high-stakes domains (health, finance, infra) is a strong advantage. We’re based inside a GP practice, so you can walk downstairs and see the real-world impact of your work. Why join our engineering team: * Build technology that actually matters at national scale * Solve complex, meaningful problems with real-world constraints * Work in a high-performing, product-led team * Have real ownership, real responsibility, and real impact 💙 A BIT ABOUT US 💙 We’re all NHS staff. We’re inside-outsiders. Trusted with one of the biggest datasets in the world. 🏥 Our office is within a GP practice. This is our unfair advantage. Got a question? Pop down the corridor. Want to learn how your work affects real patients? Pop downstairs to reception. 💪🏼 4 days in the office and 1 day WFH (for most roles). We highly prioritise in-person communication and prefer candidates who want to work 4+ days a week in the office. Our anchor days are Mon, Tues, Thurs and Fri. Homemade breakfast and lunch are on the house every day when you're in the office, ensuring you're fuelled for success! 🌀 We work in growth cycles. Every 8 weeks we do the same set of activities. 1 week outside of Business-as-Usual to research, strategise, plan our work. 7 weeks to knuckle down and deliver it. 🤝 We’re highly collaborative. One of the benefits of a high trust team is we often work autonomously, but as a team we’re very collaborative by nature. Two heads are often better than one, and we frequently lean on each other to solve problems together. 🤜🏽 We’re backed by industry leaders. We’re on the DigitalHealth.London Accelerator, backed by the NHS Clinical Entrepreneur Program, winners of the London Business School Healthtech Challenge, Innovate UK, and Y Combinator (S23). 🚀 AN OPPORTUNITY FOR REAL UPSIDE 💉 Paid volunteer days. We offer an additional 2 paid days off per year where you can give back to your mission of choice. 🎢 Every 8 weeks we take a day off to socialise as a team. In the past we’ve hiked box hill, raved at All Points East and spent one rainy day at Thorpe park. This works out as 6 working days a year. 📚 Learning budget of £250 annually and time off to spend it - we care about this; this is flexible and based on need but everyone will receive a yearly allocation towards their continual growth. 🍽️ Homemade breakfast and lunch are on the house when you're in the office, ensuring you're fuelled for success! 🥡 Team takeaways every Monday night 🥗 Health and fitness budget of £60 per month - see more here 🧘♂️ An additional 7 days of paid leave is available if you want to take time to learn how to meditate. 💫 Tooling; You’ll have your choice of operating systems and any additional tools you need to do your best work (e.g. keyboard, additional monitors, mouse etc). If you’re on our Engineering teams you’ll receive the latest MacBook Pro and our Growth & Ops teams receives a MacBook Air. 🩺 We know health and family come first which is why we have a generous sick leave policy with additional days that can be taken for mental health leave. ✈️ We prioritise time outside of work to bond, once a year we’ll holiday together! Destination chosen by popular vote. In 2025, we spent 8 days in a surf camp in France! 👎 No private medical insurance, because we believe in the NHS and we are here to improve it! 🐥 Parental leave: Post passing probation it is: statutory - 6 weeks 90% pay then, SMP for 33 weeks; if you've been an employee for a year: 12 weeks 100% pay then, SMP for 27 weeks; and if you have been here for 2 years: 18 weeks 100% pay then, SMP for 21 weeks. This will improve over time. We also include up to £9,000 of childcare contribution for primary caregivers to support a five-day return where possible. 👪 Fertility leave. We understand how difficult a fertility journey can be. This is why we give an extra 5 days off per year if you or your partner are going through fertility treatment. 🐖 Pension - We operate a standard 3% employer contribution and employees auto-contribute 5% of their salary. We use Nest as our provider. 🏡 Local living benefit - A one-off benefit to support living closer to the office: £5,000 if you live within a 30-minute walk, or £2,500 within a 30-minute bike. It is optional, available immediately on signing, and not linked to performance or progression. 🚕 If you choose to work late in the office, you can expense dinner after 7pm and an Uber home after 9pm, or earlier if you feel unsafe travelling in the dark. This is optional and about wellbeing, not performance or expectations. ⛵️And of course, an adventure of a lifetime! 🌈 INCLUSIVE & DIVERSE BY DESIGN We care about building a product that is loved and a culture that is rich in perspectives, experiences, and backgrounds. Our team represents more than ten different cultures. We come together every lunch time for a home cooked meal, rotated among team members! We want everyone in our team to know that they belong. We are purposeful about this and are proactively building a company that is inclusive of all people; from race, religion, sex, sexual orientation, gender identity, age, neurodiversity, disability, colour, and national origin - essentially every type of diversity. We don’t just want people who fit in, we want them to fit together. We're active in continually improving the way we make this happen.
Roboyo AI is a category shaper in Applied AI and Agentic Automation. We help leading enterprises move from automation projects and AI experiments into governed, production-grade systems that execute real work across workflows, processes, products and services. Our heritage is in scaled enterprise automation; our future is Applied AI and Agentic Automation: autonomous agents, AI engineering squads, process orchestration, data and knowledge foundations, and human-in-the-loop governance embedded deeply into how our clients operate. We are not here to sell AI theatre. We are here to turn AI into working systems, measurable outcomes and repeatable transformation programs. About the Role We are building something that most professional services firms talk about but rarely execute well: a systematic ability to turn the work we do with clients into durable, scalable intellectual property. This role is at the center of that effort. As part of our Global Capabilities team, you will be responsible for identifying, extracting, and developing the IP embedded in our delivery work — transforming client-specific solutions into assets that range from rich case studies and methodology frameworks to reusable solution components and, in the most valuable cases, into market-ready products that can be deployed across clients with minimal rework. This is not a commercial/marketing role, and it is not a delivery role. It sits deliberately between the two: close enough to delivery to understand what we build, commercially minded enough to know what's worth packaging and how What You'll Do: IP Identification & Prioritization Work closely with Capability owners and delivery leads to develop a view of what we are building across client engagements and assess its reuse potential. Not everything becomes IP — part of the role is developing a sharp instinct for what does, based on technical generalizability, commercial applicability across industries or clients, and the feasibility of abstraction. Asset Development Own the end-to-end process of turning delivery outputs into structured assets. This spans a wide spectrum: - Knowledge assets: solution pattern libraries, methodology documentation - Enablement assets: playbooks, accelerators, and reference architectures for delivery teams - Reusable components: parameterized workflows, app templates, and configuration guides designed for multi-client deployment - Market-ready products: industry-specific solutions packaged for sale, with defined deployment scope, configuration documentation, and commercial positioning Offerings Development Collaborate with Capability leadership to define and evolve our go-to-market offerings — translating our capability depth into clearly scoped, well-positioned services that delivery teams can sell and execute against consistently. Delivery Team Enablement Ensure that the assets you develop are actually used. This means working with delivery teams to embed reusable components into their ways of working, not simply publishing them to a repository. You will need to earn adoption rather than mandate it. IP Roadmap Management Maintain a view of our IP development pipeline — what is in progress, what is planned, what has been validated in the market. Communicate this clearly to leadership and flag where emerging client work could accelerate the roadmap. What We're Looking For: Abstraction & Productization thinking The single most important capability for this role is the ability to look at something built for a specific client, in a specific context, and identify the transferable, generalizable pattern within it. This is the ability to ask: "If we stripped out everything client-specific, what would remain — and who else would pay for that?" This mindset is difficult to teach and is the primary thing we will be assessing. Commercial & Market Instinct You understand how professional services firms create and capture value, and you have a view on what makes an offering compelling to buy. You can distinguish between IP that is impressive internally and IP that a client would actually pay for or find useful enough to accelerate a sale. Technical Fluency in the Agentic AI/automation/low-code application space You do not need to be a developer, but you need to understand enough about how AI-infused low-code applications and automated workflows are built to have a credible conversation with the people who build them. You should be able to look at a solution design or workflow architecture and understand what is configurable, what is hardcoded, and what would need to change to make it reusable. Influence Without Authority This role succeeds or fails on your ability to get delivery teams — who are busy, client-focused, and not naturally incentivized to pause and document — to engage with the IP process. You will need to make it easy and worthwhile for them, build genuine credibility with technical practitioners, and work with leadership to create the right structural conditions. Structured Thinking & Documentation You write clearly and think in frameworks. You can take a complex, contextual delivery output and distil it into something structured, portable, and usable by someone who wasn't in the room. Experience We're Looking For: Strongly Relevant - Experience in a practice development, Centre of Excellence, or offerings/capability function within a technology services firm - Involvement in building accelerators, starter kits, reference architectures, or industry-specific solution templates — at any scale - Work at a software vendor in a solutions, pre-sales, or industry solutions capacity, where packaging and positioning capabilities for reuse was a core part of the job - A background as business analyst where your job was to clearly define the problem a client (external or internal) was trying to solve and translating that into an equally clear solution design that would fulfill the business need. Useful But Not Required: - Hands-on experience with low-code or agentic automation platforms (Power Platform, UI Path, Appian or similar) — even at a configuration or business analysis level - Experience working on AI-infused products or workflows - Exposure to commercial pricing and packaging of technology services or products We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Privacy Notice: By applying, you consent to the processing of your personal data for recruitment purposes in line with our Privacy Policy: https://roboyo.global/data-privacy/
Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals. ABOUT THE WORK This position is on our Applied AI team, which is responsible for helping Honor safely and pragmatically apply AI across our operating model, product systems, and internal workflows. The mission of the Applied AI team is to help Honor become an organization that learns faster, remembers more, and continuously compounds what it learns over time. We believe the most valuable use of AI at Honor is not isolated task automation, but building durable organizational intelligence: systems that retain operational context, surface relevant prior learning, support better decisions, and help teams turn fragmented insights into repeatable improvements. Honor operates in a deeply relationship-driven industry. The best home care operators personalize service because they remember the details, understand context, and adapt to the situation. At Honor’s scale, that requires thoughtful systems: reliable context, governed access, reusable AI patterns, traceable workflows, and product experiences that help humans and agents make better decisions together. As a Senior Engineer on Applied AI, you will help design, build, and productionize the foundations that make this possible. You may work on systems that power AI-assisted sales follow-up, operational defect analysis, reusable memory and retrieval patterns, internal agentic tools, AI-powered data analysis, schedulable workflows, or closed-loop feedback systems that connect audits, product changes, and measurable business outcomes. You will work closely with engineering, product, design, data, operations, security, and business stakeholders to move quickly while maintaining the discipline needed for production systems. This team is highly exploratory, but the work is not a lab exercise. We are looking for engineers who can turn ambiguous AI opportunities into safe, reliable, measurable product and platform capabilities. We have an exciting runway ahead of us. As AI becomes an operational layer across Honor, we need engineers who can help create the paved roads: secure model access, compliant data pathways, observability, cost controls, evaluation patterns, human-in-the-loop workflows, and reusable architecture that allows teams across Honor to adopt AI without creating long-term fragmentation. ABOUT YOU * You thrive in a diverse, cross-functional team, collaborating with design, product management, data, operations, security, and other engineering teams. * You are excited by ambiguous, high-leverage problems where the right answer requires both technical judgment and operational empathy. * You enjoy building production-grade systems that connect user-facing workflows, backend services, data pipelines, and AI/LLM capabilities. * You’ve built and maintained production-grade features in Python, or have transferable experience in common languages like Node.js and are willing to learn Python. * You know how to design reliable data models and have used relational databases at scale. * You have been a key contributor to the design and implementation of large, complex projects. * You are comfortable working in and refactoring legacy, monolithic systems while also designing new services and integration patterns. * You are a strong communicator, both verbally and in writing, and can explain technical tradeoffs to technical and non-technical audiences. * You think carefully about quality, observability, privacy, security, and operational risk. * You are excited to work with AI systems in a way that is pragmatic, measurable, and grounded in real business outcomes. * You are willing to participate in an on-call rotation in collaboration with our tier 1 support team. SOME, OR ALL, OF THESE ARE TRUE * You have experience building LLM-powered products, AI agents, retrieval systems, memory systems, or evaluation frameworks. * You have worked with model providers or platforms such as AWS Bedrock, OpenAI, Gemini, Anthropic, or similar systems. * You have experience with secure data access patterns, RBAC, auditability, or compliant data workflows. * You have built internal tools, workflow automation, or systems that support operations teams at scale. * You are comfortable working with messy operational data and turning it into reliable product or platform capabilities. * You have experience designing systems that involve human-in-the-loop review, feedback loops, or measurable quality improvement. * You are knowledgeable about microservice architecture and best practices. * You have experience working with an RPC architecture. * You are comfortable with frontend development and have experience with JavaScript frameworks like React. * You have experience leveraging observability and monitoring tools like DataDog. * You enjoy mentoring and spreading knowledge to other engineers. * You are energized by building foundations that help other teams move faster and more safely. TECH YOU MAY USE * Python * Thrift * MySQL * AWS * AWS Bedrock * OpenAI, Gemini, Anthropic, or similar model platforms * JavaScript * React * Looker * GitHub * DataDog * Internal agentic tools and workflow automation platforms #LI-Remote Our range reflects the hiring range for this position. We use national average to determine pay as we are a remote first company. Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program. Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees. Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option. We offer a generous time off program, mental health benefits, wellness program, and discount program. Hiring Salary Range $160,000—$180,000 USD At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role. Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.
We're building AI-native systems – and helping shape how AI transforms engineering, products and organisations. At Knowit Connectivity, AI is becoming a fundamental part of how modern systems are designed, developed and operated. We're looking for experienced engineers and architects who want to help clients move beyond experimentation and build production-grade AI solutions that create real business value. As we continue to invest in AI as a company, we're looking for people who want to combine deep technical expertise with a passion for shaping the future of AI-enabled engineering. About the role As a senior consultant, you'll work across the full lifecycle of applied AI – from strategy and architecture to implementation, deployment and continuous improvement. You will help clients understand how AI changes products, workflows and technical systems while taking a leading role in designing solutions that are scalable, observable and trustworthy. In addition to client engagements, you will be part of Knowit Connectivity's AI Advisory Team. The team plays a central role in shaping our AI strategy, developing internal capabilities, evaluating emerging technologies and helping drive our AI initiatives forward. This means your role is divided between delivering value in client assignments and helping strengthen Knowit's AI capabilities internally. You'll collaborate with other senior AI specialists, architects and business leaders to identify opportunities, establish best practices and continuously evolve how we apply AI across the organisation. Typical work includes: Designing AI-native architectures and intelligent systems Building and deploying LLM-based applications in production Implementing RAG solutions across large and complex information landscapes Designing agent-based workflows and autonomous system behaviours Defining governance, observability and evaluation strategies for AI systems Integrating AI capabilities into existing products, platforms and business processes Evaluating trade-offs around performance, reliability, cost and control Supporting clients in their AI transformation journey Contributing to the development of Knowit's AI strategy and AI offerings What we're looking for We're primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: Building applications using LLMs Retrieval-Augmented Generation (RAG) and vector databases Agent frameworks and orchestration platforms System architecture and distributed systems Python or similar programming languages Cloud platforms such as Azure, AWS or GCP Evaluation, monitoring and optimisation of AI systems Data engineering and integration of complex information sources Experience with enterprise architecture, platform engineering or large-scale software development is highly valuable. Who you are You understand that AI is changing software engineering and system design fundamentally. You enjoy working across strategy, architecture and implementation, and you're comfortable helping clients navigate both technical and organisational challenges related to AI adoption. You are curious, pragmatic and continuously learning as the AI landscape evolves. You don't need to fit a perfect profile – we value different strengths, whether you lean more towards architecture, platform engineering or implementation. Why join us At Knowit, you'll be part of a team that helps organisations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities and turn ideas into practical applications. Whether it's defining strategy, designing architectures or building production-ready systems, you'll play a key role in helping others succeed with AI. What you can expect: Working hands-on with clients to solve real business problems using AI Supporting organisations at different stages of their AI maturity Collaborating in a strong engineering culture where knowledge sharing is part of everyday work Opportunities to influence both client solutions and how we grow our AI capabilities internally A variety of projects and industries, giving you both breadth and depth over time A formal development roadmap where continuous AI learning and capability building are integrated parts of your professional growth We're building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. Interested? If you've already built something real with LLMs and want to help shape how AI transforms engineering, products and organisations, we'd like to hear from you.
We're building AI-native systems – and helping shape how AI transforms engineering, products and organisations. At Knowit Connectivity, AI is becoming a fundamental part of how modern systems are designed, developed and operated. We're looking for experienced engineers and architects who want to help clients move beyond experimentation and build production-grade AI solutions that create real business value. As we continue to invest in AI as a company, we're looking for people who want to combine deep technical expertise with a passion for shaping the future of AI-enabled engineering. ABOUT THE ROLE As a senior consultant, you'll work across the full lifecycle of applied AI – from strategy and architecture to implementation, deployment and continuous improvement. You will help clients understand how AI changes products, workflows and technical systems while taking a leading role in designing solutions that are scalable, observable and trustworthy. In addition to client engagements, you will be part of Knowit Connectivity's AI Advisory Team. The team plays a central role in shaping our AI strategy, developing internal capabilities, evaluating emerging technologies and helping drive our AI initiatives forward. This means your role is divided between delivering value in client assignments and helping strengthen Knowit's AI capabilities internally. You'll collaborate with other senior AI specialists, architects and business leaders to identify opportunities, establish best practices and continuously evolve how we apply AI across the organisation. Typical work includes: * Designing AI-native architectures and intelligent systems * Building and deploying LLM-based applications in production * Implementing RAG solutions across large and complex information landscapes * Designing agent-based workflows and autonomous system behaviours * Defining governance, observability and evaluation strategies for AI systems * Integrating AI capabilities into existing products, platforms and business processes * Evaluating trade-offs around performance, reliability, cost and control * Supporting clients in their AI transformation journey * Contributing to the development of Knowit's AI strategy and AI offerings WHAT WE'RE LOOKING FOR We're primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: * Building applications using LLMs * Retrieval-Augmented Generation (RAG) and vector databases * Agent frameworks and orchestration platforms * System architecture and distributed systems * Python or similar programming languages * Cloud platforms such as Azure, AWS or GCP * Evaluation, monitoring and optimisation of AI systems * Data engineering and integration of complex information sources Experience with enterprise architecture, platform engineering or large-scale software development is highly valuable. WHO YOU ARE You understand that AI is changing software engineering and system design fundamentally. You enjoy working across strategy, architecture and implementation, and you're comfortable helping clients navigate both technical and organisational challenges related to AI adoption. You are curious, pragmatic and continuously learning as the AI landscape evolves. You don't need to fit a perfect profile – we value different strengths, whether you lean more towards architecture, platform engineering or implementation. WHY JOIN US At Knowit, you'll be part of a team that helps organisations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities and turn ideas into practical applications. Whether it's defining strategy, designing architectures or building production-ready systems, you'll play a key role in helping others succeed with AI. What you can expect: * Working hands-on with clients to solve real business problems using AI * Supporting organisations at different stages of their AI maturity * Collaborating in a strong engineering culture where knowledge sharing is part of everyday work * Opportunities to influence both client solutions and how we grow our AI capabilities internally * A variety of projects and industries, giving you both breadth and depth over time * A formal development roadmap where continuous AI learning and capability building are integrated parts of your professional growth We're building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. INTERESTED? If you've already built something real with LLMs and want to help shape how AI transforms engineering, products and organisations, we'd like to hear from you.
We’re building real-world AI systems – not just prototypes. If you’ve worked hands-on with LLMs and want to take the next step, we should talk. At Knowit Connectivity, we’re expanding our AI capabilities and looking for experienced engineers and architects who want to design and build production-grade AI solutions together with our clients. About the role As a senior consultant, you’ll work across the full lifecycle of applied AI – from early exploration to deployed, scalable systems used in real environments. You’ll take a leading role in shaping solutions, both technically and strategically, and collaborate closely with clients, developers, and other stakeholders. Typical work includes: Designing end-to-end architectures for AI-powered systems Building and deploying LLM-based applications in production Implementing RAG pipelines over large and complex data sources Developing agent-based workflows and orchestration logic Integrating AI capabilities into existing systems and platforms Evaluating, optimizing, and scaling AI solutions (latency, cost, quality) What we’re looking for We’re primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: Building applications using LLMs (e.g. OpenAI, open-source models) Retrieval-Augmented Generation (RAG) and vector databases Designing production-ready systems (APIs, pipelines, integrations) Python or similar programming languages Working with frameworks like LangChain, LlamaIndex, or similar Prompt engineering, evaluation, and iteration in real-world use cases Experience with system architecture, cloud platforms, or data engineering is a strong plus. Who you are You’re someone who: Has moved beyond demos and wants to build systems that are actually used Enjoys both the bigger picture (architecture, trade-offs) and hands-on implementation Is comfortable taking ownership and guiding technical direction Wants to stay at the forefront of how AI is applied in practice You don’t need to fit a perfect profile – we value different strengths, whether you lean more towards architecture or implementation. Why join us At Knowit, you’ll be part of a team that helps organizations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities, and turn ideas into practical applications. Whether it’s defining a strategy, designing architectures, or building working systems, you’ll play a key role in helping others succeed with AI. What you can expect: Working hands-on with clients to solve real business problems using AI Supporting organizations at different stages of their AI maturity – from first use case to scaled solutions Collaborating in a strong engineering culture where knowledge sharing is part of everyday work Opportunities to influence both client solutions and how we grow our AI capabilities internally A variety of projects and industries, giving you both breadth and depth over time We’re building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. Interested? If you’ve already built something real with LLMs – and want to push further – we’d like to hear from you.
We are seeking a highly autonomous, high-output DevOps & AI Engineer to design and build a pioneering AI-assisted system. This solo-developer initiative will automate the complex integration, merging, and migration of game project branches across versions, encompassing both Unreal Engine 5 and our proprietary APEX engine projects. You will be responsible for creating an intelligent system that not only manages Git and Perforce workflows but also integrates seamlessly with Jenkins for robust preflight validation and automated testing. Leveraging advanced LLM-powered agentic workflows, the system will classify, triage, and reliably resolve merge conflicts, moving beyond blind binary merges to intelligently interact with engine APIs and scripting environments. This is a critical role for someone ready to independently build a sophisticated backend agent framework and an intuitive frontend dashboard while leveraging an existing, mature CI/CD infrastructure. What you’ll do Design and Build an AI-Powered Integration System: Architect, develop, and deploy a comprehensive AI-assisted platform that automates game project branch integration across Unreal Engine 5 and APEX. The system will support both Git and Perforce version control and integrate seamlessly with Jenkins-based CI/CD workflows. Develop Intelligent Conflict Resolution: Implement advanced LLM-powered agentic workflows to classify, triage, and resolve merge conflicts. Focus on deep contextual understanding, multi-pass investigation, and intelligent decision-making rather than relying on blind binary merges. Engine and Scripting Automation: Leverage native Python scripting and engine APIs to interact directly with Unreal Engine, automate tasks such as Blueprint recompilation and contract-change updates, and extend these capabilities to proprietary engines such as APEX. Full-Stack Development and Workflow Orchestration: Independently build both the backend agent framework and an internal, project-specific frontend dashboard. Design and manage complex state machines for "Paused Integration" workflows, enabling human-in-the-loop intervention and continuous learning through self-reflection mechanisms based on human resolutions. Define and Track Success Metrics: Establish, monitor, and refine key performance indicators (KPIs) that measure AI effectiveness, including Attempt Rate, Escalation Rate, and Rollback Rate, ensuring continuous improvement, operational efficiency, and system reliability. Who you are: Version Control & CI/CD Mastery: Deep expertise in both Perforce and Git, with a strong understanding of their distinct workflows and underlying models, as well as hands-on experience designing and authoring Jenkins pipelines for robust CI/CD processes within mature development infrastructures. Game Engine & Asset Pipeline Knowledge: Working knowledge of Unreal Engine 5 project structures and asset pipelines, including a strong understanding of the challenges associated with merging game-specific assets such as .uasset files, Blueprints, and other engine-generated content. Applied AI/ML Practitioner: Proven ability to build practical applications using LLMs through APIs, including prompt engineering, context engineering, agentic frameworks, and retrieval-augmented generation (RAG). Experience applying these techniques to areas such as code-diff analysis, semantic understanding, and automated conflict resolution, with a focus on orchestration rather than model training. Polyglot Developer & Systems Integrator: Proficient in Python, C# for engine tooling, and C++, with full-stack web development experience (e.g., React and Node.js) for internal dashboard development. Skilled at orchestrating complex systems and integrations across multiple platforms and APIs, including version control systems, CI/CD tools, Jira, and Slack. Autonomous & Strategic Thinker: A highly self-directed professional capable of independently driving complex projects, strategically leveraging AI orchestration to delegate work to specialized agent sub-systems, and designing resilient architectures with robust state management. Game Industry Experience: Demonstrated experience in the game industry or engine development, with a strong appreciation for the unique technical and workflow complexities of game production. Note: Research shows under-represented groups in the industry might not apply to a job if they don’t check off every requirement. At Avalanche, we’re more about your drive to learn and interest in tackling challenges than what’s on your resume! So don’t stress if you don’t tick every box— shoot us your application anyway! Diverse opinions and different experiences are what make our teams so great, not itemized lists of qualifications. The Stockholm location Our Stockholm office is situated in Södermalm, the beating heart of the city’s game industry. It’s a physical representation of our games – the lush vegetation of Just Cause and theHunter: Call of the Wild meets corroded metal straight out of Mad Max. Our hybrid model requires you to be in the office on Mondays, Tuesdays, and Thursdays to foster collaboration and creativity. Our values At Avalanche Studios Group, we create worlds beyond limits. But that’s not exclusive to our games, so we’re committed to developing a diverse and inclusive workplace. All Avalanchers have a shared responsibility to create an open work environment where everyone is treated equally and respectfully. Being part of our world is not contingent on your heritage, your gender, or sexual orientation. It’s all about your passion and creativity. How to apply To apply for this position, please register below and provide your CV in English. We review applications continuously. All further studio-related information is provided under a non-disclosure agreement. At Avalanche Studios Group we're always on the lookout for talented individuals to join our passionate team, but please note that relocation assistance is not available for this role.
BUILD SOMETHING MONUMENTAL FOR HEALTHCARE! At Tandem Health we’re reimagining healthcare by putting clinicians first. Our platform - designed by clinicians, for clinicians - is built on deep insight into real-world pain points, with intuitive medical notes and workflows that truly support patient care. We’re a fast-scaling health-tech company backed by top investors and expanding globally. We move fast, stay curious, and believe building something that matters starts with an extraordinary team. If you're passionate about impact and innovation, we'd love to meet you! ABOUT THE ROLE We’re looking for an exceptional Senior AI Engineer to join us in building the future of healthcare in Europe. This is not a traditional ML role. We’re looking for someone who has spent the last few years deeply immersed in building real-world, LLM-native products - someone who has moved beyond prototypes and understands what it takes to ship fast, reliable, production-grade AI systems that users depend on every day. Today, our AI products are already used daily by thousands of healthcare professionals across Europe. Our AI scribe is live in production at significant scale, and we’re now expanding far beyond documentation into a broader suite of AI-native workflows and products across the healthcare experience. You’ll join a small, highly ambitious team building some of the most advanced applied AI systems in European healthcare. We believe AI will fundamentally reshape healthcare over the coming decade, and we’re building products that meaningfully improve how care is delivered at scale. This role comes with substantial ownership, not only over technical execution, but also over shaping new AI initiatives, product directions, and how AI gets deployed across the company. We’re still early enough that the right person will have enormous impact on both the product and the organization, while working alongside an unusually strong team of engineers, builders, and operators. This role is ideal for someone currently building AI-heavy products at a startup or fast-moving tech company, and who wants to work even closer to the frontier of applied AI. WHAT YOU WILL DO * Build and scale deeply integrated LLM-powered product experiences used daily by healthcare professionals across Europe * Lead new AI initiatives from concept to production, helping define both technical direction and product strategy * Design robust systems around prompting, orchestration, evaluation, retrieval, agents, speech, and model infrastructure * Own projects end-to-end - from early product thinking and architecture decisions to deployment and iteration in production * Work closely with product, design, and engineering to create AI experiences that feel magical while remaining reliable and practical * Continuously evaluate and integrate new models, tooling, and infrastructure as the ecosystem evolves * Improve performance, latency, reliability, and cost-efficiency across our AI stack * Help shape how we work with AI across the company as we continue scaling our platform and team WHAT YOU BRING * 5+ years of engineering experience, with at least 2–4 years spent primarily building and shipping LLM-powered products * Strong hands-on experience applying modern LLMs in production environments - not just experimentation or research * Experience building agentic workflows or complex multi-step LLM systems * Experience leading technical initiatives or owning major AI product areas with high autonomy * Experience working with evaluation pipelines, model monitoring, or AI reliability systems * A strong product mindset and intuition for building AI experiences that create real user value * Experience operating in fast-moving startup environments with high ownership and ambiguity * Strong software engineering fundamentals and ability to build high-quality systems end-to-end * Experience with technologies such as Python, TypeScript, React, Kubernetes, or similar modern tooling * Deep curiosity about the rapidly evolving AI landscape, and excitement to stay at the frontier of applied AI * A collaborative, low-ego approach and desire to work with exceptionally talented teammates Bonus Points * Experience with speech-to-text, voice AI, or multimodal models * Experience in healthcare or other regulated industries * Experience with fine-tuning and training LLMs LOCATION We believe the best ideas happen when we’re together. This role is based in our vibrant HQ in the Epicenter building in the heart of Stockholm where you will work primarily from our office to collaborate, connect, and build our culture. HOW TO APPLY We adopt a continuous selection process, so please make sure to apply with your CV in English. Our interview process consists of 4 stages: 1. Screening interview with Talent Acquisition 2. Technical interviews with some of our Engineering team 3. System Design Interview at our office - Join us in the Stockholm office for a lunch and a Product focused System Design interview to experience our culture firsthand, collaborate with our team, and see how you work in action. 4. Follow-up interview with our CTO & Co-Founder We're currently in the middle of vacation season, which means it may take us a little longer to review applications and get back to you. Thanks for your patience - we're looking forward to reading your application! BENEFITS * Competitive salary & company stock options * 30 days/year of paid vacation * 5,000 SEK wellness allowance (friskvårdsbidrag) plus an additional 6,000 SEK yearly to spend on other health related initiatives * Generous Parental leave top-up for new parents * Private Medical Insurance to stay healthy * Mental health support through our partner Mindler * Pension program * Social and team-building activities (off-sites, after works, winter/summer parties) * An opportunity to make a real positive impact in the world of healthcare * Work with some of the best minds in AI, healthcare, and engineering. We review our benefits packages on a regular basis and might modify our benefits from time to time. CULTURE AT TANDEM At Tandem, we move fast, think big, and take ownership. We're a high-performing, diverse team with a shared drive to change the future of healthcare - and we’re just getting started. Our culture is built on action, ambition, and learning. You'll be trusted to take the lead, challenge yourself, and make an impact from day one. We believe real growth happens when you're stretched, supported, and surrounded by smart, passionate teammates who want to win together. Even though we’re spread across countries, we come together often in Sweden for team meetings, social events, and offsites - blending global reach with real human connection. We hire for talent, potential, and attitude - valuing different backgrounds and fresh perspectives. Great ideas come from everywhere, and we’re building a team that reflects the world we want to change. Tandem handles sensitive patient data and will conduct a background check before hiring any candidate.
Do you want to turn image and sensor data into meaningful insights and real-world solutions? Here, you join a collaborative environment where innovation, learning, and data-driven thinking move us forward. Why Sandvik? We combine advanced technology with real industrial impact, giving you space to grow while contributing to something bigger. Work together with experienced experts and learn by doing Contribute to real-world AI use cases from day one Be part of a collaborative and inclusive team culture About the job You support the development of AI models and data-driven solutions with a focus on image and sensor data. Working closely with more experienced colleagues, you take part in experimentation, testing, and continuous improvement of models. Job responsibilities Support development of AI and machine learning models Work with image and sensor data to explore and build solutions Assist in testing, validating, and refining models Contribute to experiments and prototyping activities Collaborate with team members to improve performance and results Location and flexibility This position is based at our site in Svedala and offers a hybrid working model, allowing you to work remotely. Your profile You’re early in your career and bring a strong foundation in data science or a related field. Curiosity drives you, and you’re motivated to turn theory into practical solutions while growing your skills in applied AI. Your background includes: A degree in Data Science, Computer Science, Electrical Engineering, or similar Hands-on experience through projects, thesis work, or open-source contributions Interest in AI, machine learning, and algorithms for image or sensor data Strong problem-solving ability and analytical thinking Eagerness to learn and develop within a team environment Curiosity, initiative, and a willingness to learn guide your approach. You enjoy collaborating, asking questions, and tackling challenges step by step. A proactive mindset and openness to feedback help you grow and contribute to the team’s success. Our culture At Sandvik, we’re tech driven, innovative and entrepreneurial. We believe that success is a team effort so we value diversity and are committed to creating an inclusive culture where people can be themselves and reach their full potential. So, we invest in supporting each other, learning together and celebrating our differences. Visit our stories hub, LinkedIn or Facebook to get to know us further. Contact information For further information about this position, please contact Johan Östergren, hiring manager, johan.ostergren@sandvik.com. We’ve already decided on which advertising channels and marketing campaigns we wish to use and respectfully decline any additional contacts in that matter. Union contacts – Sweden Mårten Lindberg, Unionen, +46 (0)76 111 03 36 Jonny Hansson, Akademikerföreningen, +46 (0)76 126 45 81 Michael Wicktor-Ohlsson, Ledarna, +46 (0)70 251 44 57 Recruitment Specialist: Ulrika Gruffman How to apply Send your application no later than July 27, 2026. Click apply and include your resume and cover letter in English. Please note that we don’t accept applications by e-mail. Job ID: R0093937. At Sandvik, we value a healthy work-life balance and will be away on summer vacation. Therefore, it can be difficult to reach us, and the recruitment process might take longer than usual. We aim for an open and fair recruitment process and use different tools to ensure an objective assessment. Later in the process, you may be invited to complete a personality and logic test. To learn more about our recruitment process, please visit our career site or contact HR Services at hrservices.sweden@sandvik.com Business area Rock Processing is a global leading supplier of equipment, service, and technical solutions for crushing, screening, breaking and demolition in the mining and infrastructure industries. In 2025, sales were approximately SEK 10 billion with about 2,800 employees.
ABOUT US Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. * We lean in: ownership over titles, outcomes over intentions. * We fight for excellence: high standards, direct, ego-free feedback. * We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role Are you ready to take your AI career to the next level? At Legora, we’re on a mission to revolutionize the legal industry with cutting-edge AI and LLM tech. We’re seeking software engineers to join our fast-moving team, where you’ll work on technically difficult projects with the support of an amazing team, and help redefine how legal professionals work. *This is a Stockholm-based, 5-day in-office role, we believe building together in person drives better outcomes. What you will be doing: * Architect and implement all AI and LLM features end-to-end for our web platform * Ensure we utilize the latest and greatest LLM features, agentic tools etc * Work with technologies such as React, Node.js, AWS, Azure and Kubernetes * Take ownership of our codebase, balancing high-quality code, security and speed of development * Own and drive forward PoCs and solve broad technical challenges Who you are * A passionate software engineer with a few years of experience implementing and evaluating AI and LLM applications * A strong coder * Proficient in languages like TypeScript, Node.JS, with an emphasis on clean, efficient, and maintainable code * You’re autonomous and take pride in the systems you architect * You’re a low ego, true team player * You’re a problem solver who’s not afraid to come up with creative solutions and think holistically about applied AI Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.
We are Geely Technology Europe. A unified European R&D centre within Geely Auto Group, where world-class engineers, developers and innovators push the boundaries of intelligent mobility. Our mission is to shape the next generation of vehicle architectures, digital technologies and intelligent systems for global markets. We integrate European customer and regulatory requirements early in the development process and support multiple brands within the Geely portfolio, including Zeekr, Lynk & Co and Geely. With nearly two decades of engineering experience in Europe, we continue to build smart, sustainable and user‑centric mobility solutions. We are building a high-impact team focused on turning AI ideas into validated concepts for next-generation vehicle systems. As an AI Engineer, you will work closely with domain experts across areas such as vehicle dynamics, energy management and intelligent drive, turning ideas into working prototypes and evidence-based feasibility assessments. This is not a traditional model development role. You will focus on understanding the core problem, validating whether AI is the right approach, and assessing if it creates meaningful value compared to existing solutions. You will play a key role in shaping which ideas move forward and why. What You'll Do * Work closely with domain experts to identify high-impact problems where AI can add value * Translate unclear ideas into structured problem statements, hypotheses and evaluation criteria * Design and build rapid prototypes using real or representative data (e.g. vehicle logs, simulations) * Define and evaluate KPIs linked to value creation (performance, efficiency, robustness, cost) * Benchmark solutions against baseline systems, alternative approaches and state-of-the-art methods * Assess feasibility beyond model performance, including data readiness, system constraints and integration complexity * Focus on the most critical unknowns early, avoiding over-engineering * Translate findings into clear, decision-ready recommendations (go / refine / stop) * Contribute to team development, ways of working and mentoring where relevant Who You Are: We believe you enjoy working in early-phase development, where clarity is created through exploration rather than given upfront. You likely have: * A degree in Computer Science, AI/ML, Robotics, Electrical Engineering, Applied Mathematics or similar * Several years of experience in applied AI/ML, prototyping, or technical concept development * Strong Python skills and hands-on experience with frameworks such as PyTorch or TensorFlow * Experience working with domain experts and translating engineering context into AI approaches And you have a proven ability to: * Move from unclear ideas → structured problem → prototype → recommendation * Design meaningful experiments and evaluate trade-offs beyond model accuracy * Identify the core problem behind a request * Assess whether AI is the right solution, or if a simpler approach is better * Communicate insights in a clear and structured way Nice to have: * Experience from automotive, robotics, energy, or other engineering-heavy domains * Familiarity with vehicle systems, control, simulation or time-series data * Experience working with hybrid approaches (AI + rules / optimization / physics-based models) * Exposure to early-stage product or concept development environments * Experience with cloud platforms or scalable experimentation environments Why should you join us? Let's face it, there are plenty of opportunities out there. But here's why joining us is a game-changer: * You will work on real vehicle challenges with a clear impact on future products and influence which AI concepts move forward and why * Collaborate across domains with experienced engineers & specialists and operate in an environment that values fast learning, clear thinking, and evidence-based decision-making * Play a key role in shaping how AI is applied in practice, not just in theory * You'll be a part of a team that focuses on high-value problems, turns ideas into evidence and actionable decisions, and help shape the future application of AI in mobility * Flexibility & Balance: We understand that life happens, which is why we offer flexibility and work-life balance to ensure you can thrive both personally and professionally. * Perks & Benefits: From competitive salaries to benefits like 30 vacation days, 9 additional ATK days and an annual STI program to reward your performance, we've got you covered. Do you want to join us on our journey? Welcome, to contact us for more information: Sofie Martinsson, Recruiter, sofie.martinsson@zeekrtech.eu for questions regarding the recruitment process. Last Application date: 2026-08-09 During the Swedish summer vacation period we won't be able to answer any questions about the process or the position. The recruitment process will start up again in mid to late August. To ensure a fair and objective recruitment process, we have chosen not to request a personal letter, though you are welcome to include one if you wish. Instead, we rely on selection questions and assessment tests, allowing us to focus on your experience and competence for a more efficient and unbiased recruitment process. A background check will also be conducted on the final candidate, including verification of personal details, employment history, financial standing, and any criminal records. To find out more about Geely Tech EU, visit our website. Read more about our recruitment process here. Please note that due to GDPR, we can only accept applications sent through the recruitment system, not via email or other channels.
Cambio is one of the Nordics' leading suppliers in e-health with a comprehensive offering for the entire health and care chain. Our e-health solutions supports health care professionals in their daily work and offer patients safer and more easily accessible care. We are proud to be an important part of Swedish healthcare. We are growing continuously and now have about 1000 employees in several countries. The position As an AI First System Engineer at Cambio, you’ll design and build the intelligent systems powering the future of healthcare. This is not about adding AI on top — it’s about rethinking how systems are built from the ground up in an AI-first world. You’ll work at the intersection of architecture, AI, and product, shaping scalable and resilient solutions that enable new ways for millions of people to connect with healthcare. From defining system design and data flows to integrating AI capabilities into real-world applications, you’ll have a direct impact on how Cambio's HealthCare product evolves. You’ll operate in an autonomous and highly collaborative environment alongside Product teams and external stakeholders — while also helping set the standard for how Cambio builds modern, AI-native systems. We offer A true greenfield opportunity where you’ll help define not just features — but systems, architecture, and ways of working. Built on Cambio’s deep domain knowledge and best practices, this initiative takes an AI-first approach from day one. You’ll be an early adopter and a pioneer, shaping both the product and how we approach engineering across R&D. We believe in pragmatism, iteration, and building things that actually work in reality. We move fast, make decisions, and continuously improve — with efficiency as our team’s north star. About you We believe you're a curious and technically strong engineer who enjoys solving complex, real-world problems together with a talented team. You think in systems, not just features, and you're motivated by building solutions that are scalable, robust, and meaningful. You’re interested in how AI can fundamentally reshape how systems are designed — not just enhance existing ones. You’ll thrive in this role if you enjoy a fast-paced environment where ownership, transparency, and accountability are key. You bring a positive mindset, approach challenges with pragmatism, and keep a clear view of the bigger picture. At Cambio, we value initiative and personal growth. Our culture is built on Trust, Care, and Together—values we believe are important to both our work and our people. It’s important to us that you recognize and identify with these values. Requirements • Strong hands-on experience across frontend and backend development (code style does not matter). Strong backend experience is a plus. • Deep expertise in AI and applied AI solutions (you have built private and professional products and systems). • Solid systems engineering background — you understand how complex, distributed systems are designed, integrated, and scaled. • Proven experience taking products from concept through to launch and into live operation — you've owned the full lifecycle, not just parts of it. • Comfortable running and maintaining production systems, with a strong sense of reliability, observability, and operational ownership. It's a bonus if you have • Experience working with and optimizing Agentic/robotic or automated systems. Place of employment: Linköping or Stockholm Scope: Full-time, hybrid work model (three days per week in-office) Form of employment: Permanent employment, 6 months trial period Additional Information: The role involves access to sensitive information, therefore a background check will be conducted on the final candidate. We review applications and conduct interviews on a rolling basis, so we encourage you to apply as soon as possible via the link. We look forward to receiving your application! CAMBIO- FOR A HEALTHIER TOMORROW Welcome to a company where healthcare is improved every day. Here you will work with leading technology in a collaborative, trusting and empowering environment where your contribution will be appreciated and celebrated. In our caring culture you will have the opportunity to pursue different paths of professional growth. Seize the opportunity to do the most important work of your life. Read more about us here! A healthier tomorrow also means taking care of those who make it possible -explore our employee benefits Learn more about our recruitment process here Are you interested in Cambio but you don’t feel that this position is the perfect match? Check out our other open positions at our career site.
Cambio is one of the Nordics' leading e-health companies, with a comprehensive offering spanning the entire health and care chain. Our solutions empower healthcare professionals in their daily work and give patients safer, more accessible care. We're proud to play a meaningful role in Swedish healthcare — and with around 1,000 employees across several countries, we're growing fast. The position As a Product Engineer at Cambio, you'll be at the heart of something genuinely new: designing how people connect with healthcare using an AI-first approach. Think about how you, your family, and millions of others interact with doctors, nurses, and physiotherapists — this role is about shaping that experience for the future. You'll design, build, manage, and evolve our Inhabitant Engagement product from the ground up, working in an autonomous and highly collaborative way alongside our Product team and external stakeholders, all while setting the standard for Cambio's engineering practices. We offer A greenfield product built on Cambio's best practices and deep domain knowledge — with an AI-first mindset from day one. You'll be an early adopter and a pioneer, helping shape Cambio's R&D model and paving the way for hundreds of future projects. We work with pragmatism, iteration, and best-of-breed practices. We get things done — and efficiency is our team's north star. About you We believe you're a curious, tech-savvy person who thrives on creating real value alongside a talented team. You're driven by results and always looking for ways to grow and improve. You'll excel here if you enjoy a fast-paced environment where transparency and accountability are the norm. You bring a positive mindset, tackle challenges with realism, and never lose sight of the bigger picture. At Cambio, we value initiative and personal growth. Our culture is built on Trust, Care, and Together—values we believe are important to both our work and our people. It’s important to us that you recognize and identify with these values. Requirements • Strong hands-on experience across frontend and backend development (code style does not matter). • Deep expertise in AI and applied AI solutions (you have built private and professional products and systems). • Solid systems engineering background — you understand how complex, distributed systems are designed, integrated, and scaled. • Proven experience taking products from concept through to launch and into live operation — you've owned the full lifecycle, not just parts of it. • Comfortable running and maintaining production systems, with a strong sense of reliability, observability, and operational ownership. It's a bonus if you have • Experience working with and optimizing Agentic/robotic or automated systems. Additional information: Place of employment: Linköping or Stockholm Scope: Full-time, hybrid work model (three days per week in-office) Form of employment: Permanent employment, 6 months trial period Additional Information: The role involves access to sensitive information, therefore a background check will be conducted on the final candidate. We review applications and conduct interviews on a rolling basis, so we encourage you to apply as soon as possible via the link. We look forward to receiving your application! CAMBIO- FOR A HEALTHIER TOMORROW Welcome to a company where healthcare is improved every day. Here you will work with leading technology in a collaborative, trusting and empowering environment where your contribution will be appreciated and celebrated. In our caring culture you will have the opportunity to pursue different paths of professional growth. Seize the opportunity to do the most important work of your life. Read more about us here! A healthier tomorrow also means taking care of those who make it possible -explore our employee benefits Learn more about our recruitment process here Are you interested in Cambio but you don’t feel that this position is the perfect match? Check out our other open positions at our career site.
Who We Are Umain, part of the Nordic consulting house Eidra, specializes in accelerating top-line growth through digital strategy and innovation. We’re a fast-growing consultancy already partnering with industry leaders—from cutting-edge automotive brands to forward-looking tech companies. Together with Eidra’s 1200+ strategists, creatives, and engineers spread across Stockholm, New York, and beyond, our vision is to drive the integration of AI, ML, and Data Science in businesses. Now, we’re building a dedicated team to define that future—and we want you to help lead the way. Job Summary: We are looking for a visionary Tech Director in AI Engineering with a proven track record of leading impactful solutions to head Umain’s AI stream, guiding clients through AI adoption complexities while leveraging your skills to secure deal closures, enhance project delivery, and build a top-tier team that positions Umain as an AI Engineering leader. What We Offer: A leadership role in defining and executing AI strategy for client projects, whilst exploring and pushing the boundaries of applied AI A dynamic and collaborative work environment where you will significantly influence Umain’s AI direction and build an industry-leading team The chance to lead multidisciplinary teams in an ambitious setting as you help translate cutting-edge AI concepts into real-world value Opportunities for professional and personal growth, supported by unique challenges, fantastic colleagues, and a dedicated personal coach As a Tech Director, AI Engineering at Umain, your role will involve… Commercial impact We expect that you will play a key role in securing major contracts and driving successful deal closures, while also ensuring the team remains at the forefront of the latest AI advancements. That means that you will scale your expertise to: Influence clients by establishing trust as a recognized AI authority, seamlessly onboarding them to our methodology, while addressing risks and outlining effective mitigation strategies. Shape and scope proposal: what are deliverables, what is in/out scope, how to phase and price this. Technical Leadership: Lead Umain’s strategy in AI/ML Be the client-facing expert Represent Umain AI within Eidra AI Solution Architecture: Architect appropriate AI solutions for clients, ability to understand and communicate trade-offs Help teams choose the right tech Understand compliance issues for different markets, have your finger on the pulse legal framework development within AI Client Engagement & Strategy: Be a primary advisor for clients Create actionable AI strategies to solve complex business problems/challenges Good ability to communicate potential, limitation, suitability and risk around AI frameworks/solutions Overall accountable for QA and improve deliveries: Drive project success by strategically shaping its scope: breaking down complex challenges into manageable parts, prioritizing the key deliverables, and ensuring high-quality outcomes Direct and oversee the journey to production by guiding the team to focus on critical priorities, clarifying roles and responsibilities, identifying and resolving bottlenecks, addressing overlooked details, maintaining clear client communication, and proactively anticipating potential challenges to enhance delivery quality. Over time, you’ll establish scalable QA procedures that cater to evolving project demands to ensure consistent excellence and continuous improvement across deliverables Who You Are: You possess a strong intuition for AI, and understand how to balance trade-offs between its transformative potential and its practical limitations You have a proven ability to architect and oversee the delivery of complex, scalable AI solutions that meet concrete business needs You thrive in dynamic consultancy environments, enjoy engaging with clients to translate their business needs and contexts into effective AI strategies You believe in the power of collaboration and diversity, recognizing the impact you can make by leading and working closely with multi-disciplinary teams Familiarity with the modern AI stack (e.g., common frameworks like PyTorch/Tensorflow, concepts like transfer learning, PEFT, multi-modal models, MLOps principles) is essential for guiding architectural decisions
The opportunity Hitachi Energy is establishing an AI Center of Competence (CoC) to accelerate engineering productivity, improve design quality, and enable next-generation intelligent engineering solutions across civil, mechanical, electrical, controls, and software disciplines. The AI Lead Engineer will shape the vision, establish foundational capabilities (governance, platforms, operating model), and deliver early AI pilots that create tangible value for engineers and project teams. This is a hands-on leadership role combining technical depth, domain understanding, and strong stakeholder engagement. How you’ll make an impact Establish the AI Center of Competence from the ground up Define the mission, operating model, governance framework, and technical standards for responsible AI adoption. Build trusted partnerships with IT, cybersecurity, legal, and engineering leadership to ensure scalable, secure, and compliant AI deployment across disciplines. Deliver measurable engineering productivity gains within the first year Identify and execute 2–3 high impact AI pilots (e.g., engineering documentation automation, design knowledge retrieval, controls/code assistance) that demonstrably reduce engineering cycle time, improve quality, and free up expert capacity. Translate engineering pain points into deployable AI solutions Work hands-on with civil, mechanical, electrical, controls, and software teams to deeply understand workflows, tools (PLM, CAD, ERP, document systems), and constraints, turning real world challenges into practical, high value AI applications. Build AI-ready data foundations for long term scale Enable structured, governed, and discoverable engineering data by advancing data ownership, metadata standards, lineage tracking, and access control, laying the groundwork for advanced capabilities such as knowledge graphs and intelligent agents. Bridge strategy and execution in industrial AI adoption Act as a trusted advisor to engineering leadership, clearly articulating AI opportunities, risks, and ROI while personally leading prototyping, experimentation, and early deployment in enterprise environments. Shape the future of intelligent engineering at scale Define the roadmap beyond initial pilots, including AI assisted design reviews, engineering copilots, and cross disciplinary knowledge systems. Your background Strong expertise in applied AI and machine learning Proven experience designing and deploying AI solutions in enterprise environments, with particular depth in Generative AI, LLMs, NLP, and document intelligence. Experience building production grade AI systems Familiarity with the full AI lifecycle including data pipelines, model development, MLOps practices, and deployment on modern cloud platforms. Understanding of engineering or industrial environments Exposure to engineering heavy domains such as power systems, mechanical, electrical, controls, automation, or similar industrial contexts. Experience working with complex engineering systems and data Familiarity with tools and enterprise systems such as PLM, ERP, CAD/CAE, requirements management, or large scale document management environments. Strong stakeholder leadership and influence Demonstrated ability to collaborate across engineering, IT, and leadership teams, translating technical AI concepts into practical value for non-AI specialists. Entrepreneurial mindset with the ability to build from zero Comfortable operating in ambiguous environments, establishing new capabilities, shaping strategy, and driving adoption of emerging technologies across organizations. What we offer Collective agreement Flexible working time Health care and wellness allowance Fantastic career possibilities within Hitachi Energy both within Sweden and globally Mentor to support you throughout onboard phase Various trainings and education supporting employee development Diversified company with over 70+ nationalities working in Sweden Supplementary compensation for parental leave Employee Benefit Portal with thousands of discounts and perks More about us Are you ready for a new exciting challenge? Does the above description sound like you? Welcome to apply! Applications will be reviewed on an ongoing basis, so don’t delay – apply today! Recruiting Manager Kyle Chan, kyle.chan@hitachienergy.com will answer your questions about the position. Union representatives – Sveriges Ingenjörer: Nawzad Rashid, +46 107-38 91 48; Ledarna: Frank Hollstedt, +46 107-38 70 43; Unionen: Karin Ulvemark, +46 107-38 51 42 and Ingrid Rinaldo, +46 107-38 58 19. All other questions can be directed to Talent Acquisition Partner Fredrik Söder, fredrik.soder@hitachienergy.com.
Who We Are Umain, part of the Nordic consulting house Eidra, specializes in accelerating top-line growth through digital strategy and innovation. We’re a fast-growing consultancy already partnering with industry leaders—from cutting-edge automotive brands to forward-looking tech companies. Together with Eidra’s 1200+ strategists, creatives, and engineers spread across Stockholm, New York, and beyond, our vision is to drive the integration of AI, ML, and Data Science in businesses. Now, we’re building a dedicated team to define that future—and we want you to help lead the way. Job Summary: We are looking for a visionary Tech Director in AI Engineering with a proven track record of leading impactful solutions to head Umain’s AI stream, guiding clients through AI adoption complexities while leveraging your skills to secure deal closures, enhance project delivery, and build a top-tier team that positions Umain as an AI Engineering leader. What We Offer: * A leadership role in defining and executing AI strategy for client projects, whilst exploring and pushing the boundaries of applied AI * A dynamic and collaborative work environment where you will significantly influence Umain’s AI direction and build an industry-leading team * The chance to lead multidisciplinary teams in an ambitious setting as you help translate cutting-edge AI concepts into real-world value * Opportunities for professional and personal growth, supported by unique challenges, fantastic colleagues, and a dedicated personal coach As a Tech Director, AI Engineering at Umain, your role will involve… * Commercial impact * We expect that you will play a key role in securing major contracts and driving successful deal closures, while also ensuring the team remains at the forefront of the latest AI advancements. That means that you will scale your expertise to: * Influence clients by establishing trust as a recognized AI authority, seamlessly onboarding them to our methodology, while addressing risks and outlining effective mitigation strategies. * Shape and scope proposal: what are deliverables, what is in/out scope, how to phase and price this. Technical Leadership: * Lead Umain’s strategy in AI/ML * Be the client-facing expert * Represent Umain AI within Eidra AI Solution Architecture: * Architect appropriate AI solutions for clients, ability to understand and communicate trade-offs * Help teams choose the right tech * Understand compliance issues for different markets, have your finger on the pulse legal framework development within AI Client Engagement & Strategy: * Be a primary advisor for clients * Create actionable AI strategies to solve complex business problems/challenges * Good ability to communicate potential, limitation, suitability and risk around AI frameworks/solutions Overall accountable for QA and improve deliveries: * Drive project success by strategically shaping its scope: breaking down complex challenges into manageable parts, prioritizing the key deliverables, and ensuring high-quality outcomes * Direct and oversee the journey to production by guiding the team to focus on critical priorities, clarifying roles and responsibilities, identifying and resolving bottlenecks, addressing overlooked details, maintaining clear client communication, and proactively anticipating potential challenges to enhance delivery quality. * Over time, you’ll establish scalable QA procedures that cater to evolving project demands to ensure consistent excellence and continuous improvement across deliverables Who You Are: * You possess a strong intuition for AI, and understand how to balance trade-offs between its transformative potential and its practical limitations * You have a proven ability to architect and oversee the delivery of complex, scalable AI solutions that meet concrete business needs * You thrive in dynamic consultancy environments, enjoy engaging with clients to translate their business needs and contexts into effective AI strategies * You believe in the power of collaboration and diversity, recognizing the impact you can make by leading and working closely with multi-disciplinary teams * Familiarity with the modern AI stack (e.g., common frameworks like PyTorch/Tensorflow, concepts like transfer learning, PEFT, multi-modal models, MLOps principles) is essential for guiding architectural decisions
For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. You independently lead the most complex AI deployments Smartsheet undertakes. You own the full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings at weekly Applied AI strategy sessions. You are building a function, not filling a role. What You Will Do * Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout. * Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning. * Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements. * Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically. * Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done. * Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria. * Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements. * Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality. Required * 6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python; strong TypeScript/JavaScript. * Proven track record leading complex enterprise technical engagements. You’ve managed customer relationships, navigated security reviews, and delivered production systems organisations depend on. * Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale. * System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer. * Demonstrated ability to create reusable technical assets that others use in production. You think in platforms, not projects. * Strong written and verbal communication. Architecture documents, runbooks, strategic memos, training materials. Your Deployment Kits are your portfolio. * You leave teams better than you found them. You make sure the people you work with understand what was built, why it works, and how to own it without you. * Ability to travel. This role requires domestic and international travel approximately 25–50% of the time. * Elligible to work in the UK on an ongoing basis * BS or MS in Computer Science, a related field, or equivalent industry experience Nice to Have: * Experience founding or scaling an FDE/solutions engineering function. * Technical founder background. Databricks, AWS Bedrock, or Temporal experience. * Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers). * Proficiency in German/French language will be an added advantage * Familiarity of AI governance, ethics, and regulatory requirements (e.g. GDPR, UK/EU AI Act) Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. #LI-Remote
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