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.