4 beste Stellen als data science work student in münchen, by – aktuell auf Personalsuche

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Intern: AI Platform & Agentic Architecture Engineer (f/m/x)

BMW -
München

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 4 Tagen

Leistungen

Flexible Arbeitszeiten

Qualifikationen

Informatik
Master
Elektrotechnik

Vollständige Stellenbeschreibung

THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.

SHARE YOUR PASSION.

World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

As part of BMW Group IT, our team brings the latest Data Science and Generative AI technologies to the BMW Group. We explore new application areas, develop industrial use cases across all divisions, and contribute to our central AI platform. During your internship, you will contribute to strategic architecture initiatives around Generative AI and Agentic AI platforms, helping to shape the next generation of AI capabilities.

What awaits you?

You will be part of a professional, experienced, and international AI team.
Furthermore, you contribute to architecture and innovation initiatives for Generative AI and Agentic AI platforms used across BMW Group.
In addition, you research and stay up to date with latest developments in the Agentic AI and Generative AI ecosystem, including frameworks, protocols, and emerging technology stacks.
Moreover, you will support designing and implementing Proofs-of-Concept to evaluate new technologies, architectures, and approaches for enterprise adoption.
You will also help to analyze, prototype, and validate relevant techniques, frameworks, and standards in context of future AI platform capabilities and business use cases.

What should you bring along?

Studies in computer science, electrical engineering, or a related technical field.
Coding experience in Python; experience with frontend engineering frameworks such as Angular is advantageous.
Previous experience with Generative AI and Agentic protocols such as Model Context Protocol, Agent-to-Agent and Agent-to-UI protocols is highly desired.
Experience with LLM and Agentic AI SDK frameworks such as Langchain, Langgraph, CrewAI, PydanticAI and OpenAI Agents SDK is highly desired.
Knowledge about agent harnesses and long running agents is beneficial; experience with cloud platforms such as Amazon Web Services and Azure is preferred.
Previous experience from work, coding competitions, or projects; onsite presence in Munich required.
Fluent English skills; German beneficial.

Do you want to help shape the next generation of AI capabilities at BMW Group? Then Apply now!

What do we offer?

Comprehensive mentoring & onboarding.
Personal & professional development.
Flexible working hours.
Mobile work.
Attractive & fair compensation.
Apartments for students (subject to availability & only at the Munich location).
And much more, see bmw.jobs/whatweoffer

Start date: Earliest start date 01.01.2027

Duration: 6 months

Working hours: Full-time

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

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.

Legal Entity:

BMW AG

Location:

Munich

Job Field:

Data Science

Job Id:

193922

Publication Date:

10.08.2026

Jetzt bewerben

Erweiterte Suche

data science work student Jobs in münchen, by

Intern: AI Platform & Agentic Architecture Engineer (f/m/x)

Dual master's degree with SIBE: Talent Management at Allianz SE (m/f/d)

Associate Consultant – Financial Services & AI Transformations (all genders)

Forward Deployed Engineer | German Speaking

Ich möchte aktuelle Job-E-Mails für Stellen als data science work student in münchen, by erhalten

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