Stellenreferenz: 173145


Mit unseren Marken BMW, MINI, Rolls-Royce und BMW Motorrad sind wir einer der weltweit führenden Premium-Hersteller von Automobilen sowie Motorrädern und darüber hinaus Anbieter von Premium-Finanz- und Mobilitätsdienstleistungen.


INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.

Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.

We specialize in AI, Generative AI and Generative Design, driving the identification, industrialization and scaling of new technologies in practical applications. We combine openness, pioneering spirit and implementation strength to actively shape the future of BMW.

What awaits you?

- In this role, you will design, build and industrialise production-grade AI and GenAI solutions across different business domains.
- Moreover, you will take technical ownership for selected AI initiatives, from problem framing and architecture to implementation, evaluation and productive rollout.
- At the same time, you will work in changing cross-functional teams, applying your AI engineering expertise to different enterprise use cases, processes and data environments
- You will build scalable AI systems, including model integration, orchestration, retrieval, evaluation, monitoring, guardrails and deployment.
- Furthermore, you will challenge existing solution approaches and bring external state-of-the-art AI engineering know-how into the organisation.
- You will also define reusable engineering patterns, technical standards and best practices for AI solutions.
- Finally, you will support less experienced engineers through technical guidance, code reviews and hands-on enablement.


What should you bring along?

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University degree in Computer Science, Mathematics, Physics, Engineering or a comparable technical field.

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At least 5 years of professional software engineering experience, with strong hands-on Python skills.

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At least 3 years of practical experience in building and industrializing AI, GenAI or ML-based systems in production or production-like environments.

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Strong understanding of modern AI system design, including LLM integration, orchestration, RAG, evaluation, monitoring, APIs and deployment.

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Practical experience with cloud-based engineering environments, preferably AWS or Azure, including CI/CD and modern DevOps practices.

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Ability to take technical ownership in ambiguous situations and translate complex business problems into scalable AI solutions.

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Willingness and proven ability to work across changing domains, teams and use cases rather than focusing on one fixed product area


You enjoy working in an international team and are passionate about software quality? Apply now!


Find out more about Artificial Intelligence at the BMW Grouphere .

Note : Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.


What we offer?

- Challenging projects with which we are shaping the mobility of tomorrow together.
- Wide range of personal and professional development opportunities.
- Attractive, fair and performance-related remuneration.
- High level of job security.
- Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
- Flexible working hours including 6 weeks annual leave and overtime compensation.
- Discounted BMW & MINI conditions.
- Many other benefits at bmw.jobs/benefits


Start date: from now on
Type of employment: unlimited
Working hours: full-time

If you apply, the next steps in the selection process include an online test and subsequent interviews with the hiring manager (either virtual or in person).


You can find helpful tips on your application and the application processhere .

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn morehere .