Intern Enterprise Data & AI Architecture (Mandatory Internship)

The Mercedes-Benz Group AG is one of the most successful automotive companies in the world. Together with Mercedes-Benz AG, the vehicle manufacturer is one of the largest providers of premium and luxury cars and vans.

The Data & AI Lab After-Sales team is responsible for data, advanced analytics and AI topics in After-Sales, including data and AI architecture.

Your tasks

• Collaborate with experienced Data & AI architects and contribute to strategic architecture initiatives in a global enterprise environment.
• Support architecture discussions, workshops and decision-making processes.
• Create stakeholder-ready presentations and architecture artefacts.
• Help drive Data & AI governance and architecture initiatives.
• Collaborate with engineering, business and data teams across the organization.
• Own and deliver an independent deep-dive project focused on architecture and implementation, such as automating knowledge bases using LLM-based approaches, automating metadata management and data governance, or AI-supported alerting automation for portfolio management.

Your profile

• Studies in Computer Science, Industrial Engineering, Business Informatics, Data Science, AI/Machine Learning, ideally with a focus on ML/AI or Data Engineering.
• Solid command of Python.
• Experience with Git/GitHub.
• Hands-on experience with AI technologies and LLMs, such as APIs or LangChain, is a plus.
• Experience with Databricks is a plus but not required.
• Architecture or implementation experience from studies, open-source projects or hobby projects is sufficient; no professional experience is required.
• Interest in responsible AI, governance and emerging AI regulations such as the EU AI Act.
• Strong communication skills, ability to work independently and curiosity for new topics.
• Very good English skills; German is a plus.
• The internship at this location must be mandatory.

What we offer

• Opportunity to work on a strategic Data & AI initiative.
• Direct exposure to enterprise-scale AI and data architecture.
• Ownership of a meaningful project with visible business impact.
• Mentoring from experienced Data & AI architects.
• Insights into AI, Databricks and cloud-based data platforms.
• Opportunity to build a professional network across business and technology domains.
• Collaborative and innovative team culture with room for your own ideas.

Additional information

Applications should include a resume, cover letter, certificates, current certificate of enrollment stating the semester, proof of mandatory internship if applicable, and proof of the standard period of study.

Mercedes-Benz AG
Am Wallgraben 114
70565 Stuttgart

Contact: Thorsten Rubehn, thorsten.rubehn@mercedes-benz.com