Senior AI Engineer (Forward Deployed)

As a Senior AI Engineer (Forward Deployed), you are responsible for the hands?on implementation of AI? and data?driven solutions at domain depth.You translate business processes, decision logic, and data flows into robust, scalable systems — ranging from agentic AI workflows to classical data?engineering components (e.g. data layers on Databricks).This role is hands?on, AI?first, and delivery?focused, with strong ownership for technical quality, structure, and correctness.ResponsibilitiesDomain UnderstandingUnderstand and structure business processes, decision logic, and data relationships.Challenge assumptions with customers and stakeholders.Translate complex domain logic into clear, implementable solutions.AI & Data Solution ImplementationDesign and build agentic AI systems (agents, orchestration, tools, context, decision logic).Build and evolve data?engineering components (data layers, models, pipelines, semantic layers).Combine agentic and data?driven approaches into end?to?end solution ly structured LLM orchestration, retries, fallbacks, and guardrails where appropriate.Hands?On Engineering & QualityActively implement core system logic (not a design?only role).Use AI tools to accelerate development, testing, documentation, and iteration.Ensure maintainability, observability, and production readiness.Take responsibility for reliability, monitoring, and cost awareness.Customer & Team CollaborationLead technical domain workshops and solution sessions.Work directly with customers at working llaborate closely with Engineering Manager, Cloud AI Architect, and ntribute to architecture decisions and shared delivery ownership. What We’re Looking ForCore ProfileVery senior, hands?on engineer in AI and/or data engineering.Strong AI?first mindset with sound judgment on when not to use an LLM.Solid engineering practice with Git and CI/CD (Azure DevOps, GitHub, GitLab).Production mindset: reliability, observability, security, and cost control.For Candidates based in Germany. German and English business level proficiencyAI / LLM EngineeringExperience with structured LLM orchestration (tool calling, schema?validated outputs).Experience designing multi?agent systems (orchestrator + specialized agents).Ability to handle retries, fallbacks, and guardrails.Backend & System EngineeringStrong Python skills (ideally FastAPI, async IO, Pydantic).Experience building production APIs (errors, retries, timeouts, logging).Clear contract design and integration of multiple external systems.Data & CloudStrong experience with Azure and Databricks (Lakehouse).Solid fundamentals in Spark and Delta Lake.Experience operating systems in enterprise Azure environments (e.g. Managed Identity, Key Vault, monitoring, basic networking).System ThinkingCan design agent orchestration flows, state handling, and sessions.Thinks about latency, tool?call minimization, and operational constraints.