Senior Agentic AI Engineer (f/m/x)

Datum: 21.11.2025

Standort: München, BY, DE, 80809

Unternehmen: BMW Group

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?

  • You will take overall technical responsibility for complex, cross-functional AI initiatives – from requirements analysis through to implementation.
  • You will independently identify, evaluate and manage AI-related projects.
  • Furthermore, you will design and develop end-to-end, scalable AI systems to enable the efficient industrialization of customer projects, with a particular focus on GenAI.
  • You will work closely with internal IT units, business departments and cross-functional partners.
  • Moreover, you advise business units and management, providing clear strategic guidance and applying systematic thinking.
  • You coordinate and manage collaboration with internal and external partners, representing the company in strategic committees.
  • You will foster cultural change by coaching, empowering and inspiring colleagues from diverse disciplines and support the evaluation of emerging technologies and contribute to shaping the company’s technology roadmap.

What should you bring along?

  • University degree (Master's or PhD) in Computer Science, Business Informatics, Mathematics, Physics or comparable field.
  • At least 5 years of practical experience in software development with Python.
  • At least 3 years of experience in implementing and industrializing AI solutions, including at least one major open-source framework (e.g. LangChain, Pytorch).
  • Strong methodological expertise in at least two of the following areas: Generative AI, Computer Vision, Natural Language Processing, MLOps or platform development.
  • Hands-on experience in data engineering, including building and managing database systems and data pipelines.
  • Practical experience in cloud and infrastructure engineering using AWS or Azure, as well as GitOps practices in production environments.
  • Strong proficiency in software development best practices such as clean code principles, object-oriented programming, DevOps and testing.

Are you motivated to take technical responsibility for cross-functional AI initiatives and drive innovative technologies across various business areas? Apply now!

Find out more about Artificial Intelligence at the BMW Group here.

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).

Do you have any questions? Then simply send your enquiry using our contact form. Your enquiry will then be answered by telephone or e-mail.

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 more here.