Senior AI 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.

Senior AI-arkitekt Konsultroll – LLM, ML och AI-plattform Vi söker en senior AI-arkitekt som vill leda design och införande av AI-lösningar hos våra kunder – från proof-of-concept till skalad produktion. Du är hands-on, rådgivande och van att navigera mellan affärsbehov, modellval, dataflöden, cloud-plattform och styrning. Du tar ledningen i tekniska vägval och har en åsikt om när LLM, klassisk ML eller "ingen AI alls" är rätt svar. I rollen • Designar end-to-end AI-arkitekturer som kopplar samman data, modeller, plattform och verksamhetsprocesser. • Leder tekniska vägval kring LLM-baserade system: RAG, agentiska arbetsflöden, prompt-strategier, evaluering och guardrails. • Vägleder team i frågor om MLOps, modellivscykel, datapipelines, monitorering och kostnadsstyrning. • Översätter affärsmål till skalbara och produktionsdugliga AI-lösningar tillsammans med datavetare, AI-ingenjörer och plattformsteam. • Bidrar till AI-styrning hos kund: ramverk, principer, säkerhet, dataskydd och ansvarsfull AI – inklusive efterlevnad av AI Act och GDPR. • Är teknisk mentor och kompetenshöjare – både i kundleveransen och internt hos oss. Skall-krav • Minst 8 års erfarenhet av lösnings-, system- eller dataarkitektur, varav minst 3 år med AI/ML-system i produktion. • Praktisk erfarenhet av att designa och bygga LLM-baserade lösningar (RAG, agenter, verktygsanrop, evaluering). • God förståelse för hela ML-livscykeln: dataflöden, träning/finjustering, deployment, monitorering och drift (MLOps). • Djup kunskap i minst en stor molnplattform (Azure, AWS eller GCP) och vana att integrera AI i större företagsmiljöer med befintliga system och behörighetsmodeller. • Erfarenhet av att leda tekniska vägval och föra dialog med både utvecklingsteam och beslutsfattare. • Programmeringserfarenhet i Python (eller motsvarande) – tillräcklig för att kunna granska kod och bygga prototyper. • Akademisk examen inom data, teknik, matematik, fysik eller motsvarande – eller likvärdig bakgrund. • Obehindrad svenska och engelska i tal och skrift. Bör-krav • Erfarenhet av AI-plattformar och ramverk som Azure AI Foundry, AWS Bedrock, Databricks, Snowflake Cortex eller Vertex AI. • Erfarenhet av agentiska ramverk (LangGraph, Microsoft Agent Framework, OpenAI Assistants, CrewAI eller liknande). • Erfarenhet av finjustering, modelloptimering eller utvärdering av öppna modeller (Llama, Mistral m.fl.). • Certifieringar inom cloud-arkitektur eller AI/ML (t.ex. Azure AI Engineer/Solutions Architect, AWS ML Specialty, GCP ML Engineer). • Erfarenhet av AI-styrning, säkerhet och dataskydd i AI-pipelines – inklusive ramverk för ansvarsfull AI och EU AI Act. • Erfarenhet av enterprise- eller lösningsarkitektur enligt TOGAF eller motsvarande. • Vana att mentorera och coacha andra arkitekter, utvecklare eller datavetare.