Senior AI Engineer (Forward Deployed) at KI performance

The role focuses on hands-on implementation of AI- and data-driven solutions at domain depth. You will translate business processes into robust, scalable systems spanning agentic AI workflows and data engineering on Databricks. Key Responsibilities: - Understand and structure business processes, decision logic, and data relationships; challenge assumptions, translate logic into implementable solutions - Design agentic AI systems (agents, orchestration, tools, context, decision logic) - Build data-engineering components including data layers, models, and pipelines - Combine agentic and data-driven approaches into end-to-end solution flows - Actively implement core logic, ensure maintainability, observability, and production readiness - Lead technical workshops and collaborate with customers at working level Required Skills: - Very senior, hands-on engineer in AI and/or data engineering with a strong AI-first mindset - Strong judgment on when not to use an LLM - Structured LLM orchestration (tool calling, schema validation) - Multi-agent system design (orchestrator + specialized agents) - Strong Python skills (ideally FastAPI, async IO, Pydantic) - Production API development (errors, retries, logging) - Git and CI/CD (Azure DevOps, GitHub, GitLab) - Enterprise Azure operations (Managed Identity, Key Vault, monitoring) - Strong experience with Azure and Databricks (Lakehouse) - Solid fundamentals in Spark and Delta Lake - English required; German business-level proficiency for Germany-based candidates Benefits: - Work with cutting-edge technologies (Azure, OpenAI, Databricks) - High-performance culture emphasizing execution - Training and certification opportunities - Collaborative, innovation-focused environment Locations: Munich (DE), Lisbon (PT), Cologne (DE) Salary: EUR 50,000-65,000 gross annual Valid through: September 29, 2026.