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.

Requirements
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 .

Perks
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.

Source: Landing.jobs (https://landing.jobs/at/ki-performance/senior-ai-engineer-forward-deployed)