Senior AI Engineer (Forward Deployed)

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

• 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 .

Additional Information

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 .

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Company Intel

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