Senior AI Engineer

At adesso, we don't build agentic AI as a demo — we build it to run, in production, for clients who need it to work. We're looking for a senior AI engineer who can own that end to end: from the first workshop with a client's leadership team to a live, monitored, agentic system that actually changes how a business runs. Interested in shaping how an entire organization adopts and/or uses AI? We'd love to hear from you. Your role You'll work hands-on inside client project teams, and you'll pass on what you know along the way internally, we grow together. You lead the design and technical validation of agentic workflows that automate complex, multi-step business processes across industries. You work hands-on, inside client project teams, owning end-to-end solution architecture on cloud platforms (Azure, AWS, Snowflake). You balance functional requirements against scalability, security, and long-term maintainability — and you make the call when trade-offs are needed. You build and deploy containerized agentic applications using modern frameworks (Pydantic AI, LangGraph, and others), with production-grade monitoring, evaluation, and observability from day one. You connect AI agents to existing enterprise systems — data warehouses, APIs, third-party platforms — following solid engineering practice, not shortcuts. You lead process discovery and optimization workshops with senior stakeholders. You ask direct questions, challenge assumptions, and help them land on the agentic use cases worth prioritizing. You turn business requirements into agentic process designs with real ROI — and you make that impact visible: KPIs, cost savings, operational gains, no spin. You own senior stakeholder relationships across engagements. When priorities clash between business and technology leadership, you say what needs to be said — clearly, and with the reasoning behind it. You build those relationships further over time, spotting where else adesso can genuinely help. You share what you build and learn internally, externally for example through publications, events, and client presentations — because good work is worth talking about. Your profile A master's degree in Computer Science, AI/ML, Software Engineering, or a related field. 5+ years of hands-on experience in AI/ML engineering or software development, ideally in complex enterprise environments. Real deployment experience on a cloud platform (Azure, AWS, or Snowflake) — networking, security, storage, monitoring, scaling. Not just theory, you've done it. Strong Python skills (or a similar language), and practical experience with LLM frameworks like Pydantic AI or LangGraph. A solid grip on GenAI fundamentals: prompt engineering, RAG, agent design patterns, evaluation, and observability. Experience with MLOps practices, vector databases (Pinecone, Weaviate, pgvector, or similar), CI/CD pipelines, and containerization (Docker/Kubernetes). A knack for process mapping and…