Senior AI Engineer (Forward Deployed)

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Description

As a Senior AI Engineer (Forward Deployed), you are responsible for the hands‑on implementation of AI‑ and data‑driven solutions at domain depth . g. data layers on Databricks). This role is hands‑on, AI‑first, and delivery‑focused , with strong ownership for technical quality, structure, and correctness . Responsibilities Domain Understanding Understand 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 Implementation Design 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 flows . Apply structured LLM orchestration, retries, fallbacks, and guardrails where appropriate. Hands‑On Engineering & Quality Actively 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 Collaboration Lead technical domain workshops and solution sessions. Work directly with customers at working level. Collaborate closely with Engineering Manager, Cloud AI Architect, and QA. Contribute to architecture decisions and shared delivery ownership. What We’re Looking For Core Profile Very 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 proficiency AI / LLM Engineering Experience 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 Engineering Strong Python skills (ideally FastAPI, async IO, Pydantic). Experience building production APIs (errors, retries, timeouts,

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