Senior AI & Data Platform Engineer (f/m/x)

Referenznummer: 26784_173222

Standort: München, BY, DE, 80809

Unternehmen: BMW Group

NEW SOLUTIONS EMERGE WHEN THINKING ISN’T HARD-WIRED.

More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly new solutions. Naturally, this includes flexible working models, so that our IT specialists are free to go in unconventional directions.

We drive the Data & AI transformation of the BMW Group with innovative platforms, state-of-the-art cloud architecture, and excellent engineering. Together, we create the technical foundation for scalable, secure, and efficient AI solutions across the entire company.

What awaits you?

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle – from data preparation through development and training to the productive operation of machine learning and generative AI solutions.
• You automate infrastructure, deployments, and workflows using modern DevOps and MLOps approaches (e.g., Terraform, GitHub Actions, SonarQube).
• Furthermore, you work closely with data scientists, software engineers, and architects to design and implement APIs, services, and platform functionalities.
• You also ensure the quality, stability, and security of the platform – including monitoring, observability, logging, compliance, and documentation.
• Moreover, you engage in the BMW AI Community, share best practices, and promote a positive developer experience.
• Last but not least, you evaluate new technological trends (e.g., Generative AI, LLMs, RAG, LangChain) and actively contribute your expertise to the further development of our AI landscape.

What should you bring along?

• University degree in (business) computer science, mathematics, or a comparable qualification with a strong IT focus.
• At least 5 years of experience in software or platform engineering, ideally in a cloud environment (AWS or Azure).
• Solid knowledge of CI/CD, automation, and infrastructure as code, ideally with Terraform, Docker, Kubernetes, or similar tools.
• Experience in building and operating enterprise-wide AI or data platforms with a focus on scalability, performance, and user experience.
• Practical experience in machine learning or generative AI (e.g., Jupyter, PyTorch, TensorFlow, SageMaker, LangChain, Haystack) together with knowledge in modern programming languages (Python, Java, or Go) and API technologies.
• Deep understanding of IT security, data protection, and compliance requirements.
• Very good English skills; German skills are an advantage.

Would you like to help drive the Data & AI transformation at BMW Group? Apply now!

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

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

What do we offer?

• Challenging projects with which we jointly shape the mobility of tomorrow.
• Diverse personal and professional development opportunities.
• Attractive, fair, and performance-based compensation.
• High job security.
• Annual special payments such as holiday pay, Christmas bonus, and profit sharing.
• Flexible working hours including six weeks of annual leave and overtime compensation.
• Discounted BMW & MINI conditions.
• Many other benefits at bmw.jobs/benefits

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

When you apply, the next steps in the selection process include an online test followed by interviews with the hiring manager (either virtually or in person).

Do you have questions? Then simply send your enquiry using our contact form. Your request will be answered by phone or email afterwards.

At 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. More information here.