Senior Specialist Solutions Architect - AI & ML Engineer

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.

About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will take technical ownership of a modern GCP platform that supports cloud-native services, shared engineering capabilities, and scalable delivery through an external MSP. This is a role where architecture, platform engineering, and technical governance come together, and where your decisions will shape how the platform grows over time. You will work close to both business needs and implementation, turning ideas into clear technical direction while making sure code, infrastructure, and delivery standards stay consistent across the platform. If you enjoy combining hands-on platform work with architectural influence, this is a chance to make a real mark in a cloud-first environment. Job DescriptionYou will own the technical roadmap for the GCP platform and drive the design of future capabilities using modern cloud-native practices. You will set architectural direction by translating business needs into detailed solution designs and technical Jira stories for execution. You will act as the final approver for code merged across the platform and uphold internal engineering standards for TypeScript and Python microservices. You will use and tune internal AI harnesses and agentic workflows to automate pull request reviews, manage repository context, and strengthen platform governance. You will maintain and evolve Terraform modules for GCP projects, networking, and firewall policies. You will oversee GitHub Actions workflows, custom NPM packages, and event-driven orchestration with Cloud Run, Cloud Functions, and EventArc. RequirementsAbility to design and architect GCP platform capabilities using modern cloud-native best practices. Strong knowledge of TypeScript and Python microservices. Ability to review and approve code against defined engineering standards. Experience with Terraform and infrastructure as code for GCP projects, networking, and firewall policies. Experience with GitHub Actions and CI/CD workflow management. Knowledge of custom NPM package management. Knowledge of Cloud Run, Cloud Functions, and EventArc. Ability to translate business needs into detailed architectural designs and technical Jira stories. Experience using AI-supported workflows for PR reviews, repository context management, or platform governance. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.