Mercedes Benz, Intern AI & Way of Working MB.OS

In the MB.OS Way of Working & Toolchain department (RD/UEP), we work with the co//ab ART to shape how development projects are planned and delivered in Mercedes-Benz’s scaled agile vehicle development. We plan Portfolio Epics in Atlassian Jira across multiple teams, Agile Release Trains and PI cycles, which takes a lot of manual effort and involves complex dependencies. That’s why we are trying out AI-based Planning Agents built on Atlassian Rovo. They are meant to help Product Managers with planning, dependency management and spotting gaps in specifications and work management. As an intern, you will actively contribute to this initiative.

Your challenges will include:

• Helping to analyze the planning process for Portfolio Epics (Portfolio Epic > Capability > Feature > Story) in MB.OS vehicle development
• Preparing and structuring relevant context data from Atlassian Jira (incl. dependencies) and the MB Knowledge Graph (system and component specifications)
• Supporting the design, configuration and prototype implementation of a Planning Agent with Atlassian Rovo, incl. prompt design
• Developing and running test scenarios, and gathering feedback through expert reviews and user surveys
• Researching current developments in LLM-based agents and AI-powered planning in agile environments (e.g. SAFe)
• Documenting results and presenting them to stakeholders in the co//ab ART
• Contributing to further Way of Working and toolchain topics within the team

• Studies in Computer Science, Business Informatics, Information Management, Industrial Engineering or a comparable field
• Interest in AI systems, especially LLM-based agents and knowledge graphs
• Knowledge of agile development methods (e.g. SAFe, Scrum) is a plus
• First experience with Atlassian Jira is desirable
• Very good German and English skills, written and spoken
• Confident use of MS Office
• Independent, structured and analytical way of working
• Commitment and team spirit