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 . 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, logging). • Clear contract design and integration of multiple external systems. Data & Cloud • Strong 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 Thinking • Can design agent orchestration flows , state handling, and sessions. • Thinks about latency, tool‑call minimization, and operational constraints . Why Join Us? • Exciting AI projects - with cutting-edge technologies – work with Azure, Databricks, OpenAI, and more. • High-performance culture – we’re looking for “Doers” who want to make an impact. • Fast learning & career growth – benefit from top-tier training and certifications. • Innovative company culture – we embrace hands-on mentality, team spirit, and AI-driven excellence. • Broad ecosystem – as part of our DNA, we cultivate an exceptional network and work closely with partners and startups.