Overview

Build up a current dedicated team and drive its technical direction bringing agentic AI systems into the software development lifecycle (SDLC) for BMW vehicles.

Responsibilities

• Specifically, you will: Design, build, and operate multi-agent systems and agentic workflows (LLM orchestration, tool-use agents, autonomous coding pipelines) Build the scaffolding that makes agents productive test infrastructure, CI/CD feedback loops, machine-readable codebases, and architectural guardrails
• Deploy and run these systems in cloud-native environments at scale
• Drive measurable improvements in developer productivity across the SDLC Ensure AI system quality evaluation frameworks, guardrails, output validation, and responsible AI practices Pioneer the transformation toward an AI-first SDLC Collaborate closely with teams in Munich to align on strategy and architecture

Qualifications

• 8+ years of experience in Hands-on Software Development
• 5+ years of experience in AI/ML research and development
• Deep hands-on experience with LLMs, agent frameworks (e.g., Lang Graph, CrewAI, Auto Gen), coding agents (e.g., Claude Code, Codex), tool-use protocols (e.g., MCP), and AI system design at production scale
• Solid software engineering background you drive systems from concept to production Familiarity with cloud-native toolchains (Kubernetes, CI/CD, IaC)
• Drive the future of how BMW develops software
• Work at the frontier of agentic AI in an enterprise-scale engineering organization