Stichworte
Zusammenfassung
BMW AG in München sucht einen Senior Agentic AI Engineer, der production-grade AI- und GenAI-Lösungen konzipiert, entwickelt und in den Produktivbetrieb überführt. Die Rolle umfasst vollständige technische Verantwortung für AI-Initiativen – von der Architektur über die Implementierung bis zum produktiven Rollout – in wechselnden cross-funktionalen Teams. Bewerber bringen mindestens 5 Jahre Software-Engineering-Erfahrung sowie 3 Jahre praktische AI/ML-Produktionserfahrung mit. Die Position kombiniert technische Führung mit der Entwicklung skalierbarer AI-Systeme, darunter LLM-Integration, RAG, Orchestrierung und Monitoring. BMW bietet flexible Arbeitszeiten, 6 Wochen Urlaub, attraktive Vergütung mit Gewinnbeteiligung sowie umfassende Entwicklungsmöglichkeiten in einem internationalen Umfeld.
Benefits und Qualifikationen
- 6 Wochen Urlaub
- BMW & MINI Rabatte
- Jahresbonus und Gewinnbeteiligung
- Mindestens 5 Jahre Software-Engineering
- 3 Jahre AI/ML-Produktionserfahrung
- AWS oder Azure Erfahrung
- Cross-funktionale Teamarbeit
Stellenausschreibung
BMW AG – one of the world's leading premium manufacturers of automobiles, motorcycles, and mobility services – is redefining next-generation mobility through Artificial Intelligence and machine learning. From automated driving to generative design, the company is at the cutting edge of AI-driven innovation.
In this role, you will design, build, and industrialize production-grade AI and Generative AI solutions across multiple business domains. You will take full technical ownership of selected AI initiatives – from problem framing and architecture through implementation, evaluation, and productive rollout – while collaborating in dynamic cross-functional teams.
What you will do:
- Design, build, and scale production-grade AI and GenAI solutions across diverse enterprise use cases and data environments
- Take technical ownership of AI initiatives from architecture to deployment
- Build scalable AI systems covering model integration, orchestration, retrieval, evaluation, monitoring, guardrails, and deployment
- Challenge existing approaches and bring state-of-the-art AI engineering knowledge into the organization
- Define reusable engineering patterns, technical standards, and best practices for AI solutions
- Mentor less experienced engineers through technical guidance, code reviews, and hands-on enablement
What you bring:
- University degree in Computer Science, Mathematics, Physics, Engineering, or a comparable technical field
- At least 5 years of professional software engineering experience with strong Python skills
- At least 3 years of hands-on experience building and industrializing AI, GenAI, or ML-based systems in production environments
- Strong understanding of modern AI system design: LLM integration, orchestration, RAG, evaluation, monitoring, APIs, and deployment
- Practical experience with cloud-based engineering environments (AWS or Azure), including CI/CD and modern DevOps practices
- Ability to take technical ownership in ambiguous situations and translate complex business problems into scalable AI solutions
- Willingness to work across changing domains, teams, and use cases in an international team
What BMW offers:
- Challenging projects shaping the mobility of tomorrow
- Extensive personal and professional development opportunities
- Attractive, performance-related remuneration with high job security
- Annual special payments: vacation pay, Christmas bonus, and profit sharing
- Flexible working hours with 6 weeks annual leave and overtime compensation
- Discounted BMW & MINI vehicle conditions
Start date: immediately | Employment: permanent | Working hours: full-time