
Epical Sweden AB · Stockholm
We’re redefining what a data consultancy can be and achieve At Epical, we’re not just another consultancy firm; we’re on a mission to redefine what a data consu...
We’re redefining what a data consultancy can be and achieve
At Epical, we’re not just another consultancy firm; we’re on a mission to redefine what a data consultancy can be and achieve. Everything we do begins and ends with trust. For us, trust isn’t just a value, it’s the foundation of every successful partnership. As consultants, our role goes beyond providing advice and services. It’s about taking responsibility and seizing opportunities to help create a fairer world through expertise in integration, data and analytics, and digital trust.
If you’re a customer-focused Azure Integration Architect who thrives on delivering high-quality integration solutions to enterprise clients across diverse industries, backed by a team of top-tier integration experts, keep reading, we’d love to meet you!
Your role as an Azure integration architect
As an Azure Integration Architect at Epical, you’ll play a pivotal role in:
Consulting on integration architecture: Partner with clients to craft and implement integration and API architectures that align with their unique needs and ambitions.
Leading technical delivery: Steer your team from planning and requirement analysis through design and implementation, ensuring seamless and impactful solutions.
Presales activities: Showcase Epical’s integration expertise to inspire confidence and excitement in potential clients.
Team collaboration: Lead workgroups and nurture a culture of learning and shared success within a team-based delivery model.
We’re proud to deliver high-quality integration solutions on various cloud platforms, and our growth means we’re tackling more complex projects in dynamic environments. Whether you prefer a technical, hands-on role, a strategic advisory focus, or a blend of both, we’ll tailor your position to suit your strengths and ambitions.
Why join Epical?
At Epical, trust and collaboration are at the heart of everything we do. Here’s what you can expect as part of our team:
An environment that prioritizes people: Work-life balance and flexible remote working options are part of our DNA.
Stimulating assignments: Collaborate with top-tier experts on exciting projects for enterprise clients in complex environments.
Career growth opportunities: Shape your role and grow with us as we solidify our position as the Nordics’ leading integration consultancy.
Comprehensive benefits: Enjoy a competitive compensation package, leadership and technical training, certifications, and more.
A mission-driven organization: Join a company that’s dedicated to building a fairer world through the responsible use of data and technology.
What you bring to the table
Several years of hands-on experience with Azure Integration Services (AIS) and its core components, such as Logic Apps, API Management, Service Bus, Event Grid, and Functions.
The ability to understand and balance both the big picture and detailed client requirements, ensuring solutions meet business goals while being technically robust.
Proven leadership skills with experience guiding and mentoring technical delivery teams throughout integration projects.
A technical background that enables you to comprehend development processes and architectures, even if you no longer write code daily.
Fluent in both Swedish and English, with excellent communication skills in both languages.
Experience working in a consultancy environment, understanding client dynamics, agile delivery, and stakeholder management.
Experience with BizTalk or broader expertise in the Azure platform.
Practical details
All roles at Epical are permanent, with the flexibility to work from home or from any of our offices across Sweden (Stockholm, Gothenburg, Malmö, Västerås, Örebro, and Skövde).
To qualify, you must reside in Sweden and have a valid work permit.
Please note that a security clearance in accordance with the Swedish Security Protection Act may be required for certain assignments.
About Epical
Epical is a Nordic data consultancy driven to create a world built on trust. With approximately 400 experts, we go beyond the expected in integration, data and analytics, applications, and digital trust. By responsibly leveraging cloud technologies, we strive to deliver solutions that make the world a fairer place for everyone.
Data-driven business beyond the expected.
TL;DR → You design and build production-grade RAG and agentic AI systems end-to-end. From use-case definition through to a working interface in users' hands. → Consulting across the Nordics, with clients spanning industries from financial services to manufacturing. → You work in cross-functional delivery teams alongside Data Engineers and Platform Engineers, each owning a distinct layer of the stack. → Certifications without a debate. Colleagues who are obsessed with the craft. Freedom to grow your way. What you'll do As a GenAI Developer, you own the AI application layer end-to-end: the systems that ingest, retrieve, reason, and respond, plus the lightweight interfaces that put them in front of users. You're the person closest to the end customer. You turn a business problem into a working use-case, from gathering requirements and aligning stakeholders to shipping a production system people actually use. You come in before the solution is defined. Together with the client, you shape what gets built, then you build it. You work alongside Data Engineers and Platform Engineers, each owning a distinct layer of the stack. Your layer is where the model meets the business problem, and where the user meets the product. A few examples of what this looks like in practice: A production RAG system for a financial services client, letting internal teams navigate regulatory documentation using generative AI. From ingestion through to answer generation, quality evaluation, and a lightweight front-end for day-to-day use. An agentic AI solution in the FinOps space, applying LLM reasoning over infrastructure data to drive cloud cost optimization beyond what rule-based tooling can handle. AI capability building at enterprise clients: use-case workshops, requirements definition, and architecture advisory on agents and coding tools for senior technical audiences. The bar for what "done" means here is high: production-grade, observable, secure and used. What you get Assignments that accelerate you. Every 6–18 months you're in a new engagement. New industry, new architecture decisions, new stakeholders to earn trust from. You'll face more distinct technical challenges in two years here than most engineers see in five. Work that's hard to come by elsewhere. Agentic AI in enterprise environments is one of the most technically demanding spaces in the industry right now. The problems here aren't solved yet, and you'll be among the people solving them. Your direction, your call. Want to go deep technically and become the go-to person for enterprise AI architecture? Go for it. Want to lead client engagements, own stakeholder relationships and drive use-cases from discovery to production? Also go for it. Both paths are real and equally valued. People who make you better. The people here are genuinely passionate about technology, not as a job, but as something they care about. Engineers who go deep because they want to, follow the space obsessively, and get restless when things stop moving. That's what keeps Redeploy consistently ahead, and it's what you'll feel from day one. The perks. 30 days vacation · hybrid work and flexible hours · private medical insurance · pension (ITP1) · wellness allowance 5,000 SEK · free choice of tools and tech · free breakfast, soda and snacks · yearly gatherings and AW's · a team with genuine interests outside work — gaming, food, running, padel, golf, football, cycling. Who you are You care whether your AI systems actually work, not just whether they run, and you have an instinct for finding failure modes before they reach production. You care about how users interact with it, and you don't consider a use-case done until it's working end-to-end, interface included. You might come from a fullstack engineering or traditional ML/Data background. What matters is that you're already building AI solutions, whether that's a side project, a POC, or a deep dive into a new framework. Curiosity is a given. The question is whether you act on it. You like being close to the people who'll use what you build. You can run a requirements workshop, figure out what a stakeholder actually needs versus what they asked for, and explain why a retrieval pipeline is underperforming, all with the same clarity. What you bring Strong requirements engineering and stakeholder management skills, you can drive a use-case from problem definition to delivery, keeping technical and non-technical audiences aligned throughout Strong Python skills and solid software engineering fundamentals: clean code, testing, version control, system design Production experience with RAG architectures: chunking strategies, embedding models, vector search, hybrid retrieval, reranking, and retrieval evaluation Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI, including tool use, memory management, and multi-agent orchestration Experience with Azure AI Services or Azure OpenAI, including integration across Azure services in production environments Ability to build lightweight front-end interfaces for AI applications to make prototypes and internal tools usable beyond the terminal Strong plus: multi-agent architecture design, front-end development skills (React, Streamlit, or similar), containerization and MLOps awareness, experience in regulated industries, Azure AI-102 certification, prior consulting experience, Swedish language skills. About Redeploy Redeploy is where cloud, data, and AI come together in production. We help Nordic enterprises design, build, and operate modern tech platforms and AI solutions that are secure, scalable, and production-ready. Engineers at heart, we work hands-on across Azure, AWS, and Databricks from strategy to operations.
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 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.