Intern AI & Way of Working MB.OS

In the MB.OS Way of Working & Toolchain (RD/UEP) area, we work together with the co//ab ART to shape how development projects are planned and executed in scaled agile vehicle development at Mercedes-Benz. Portfolio Epics are planned in Atlassian Jira across multiple teams, Agile Release Trains, and PI cycles. This creates a lot of manual effort and complex dependencies. That is why we are trialing AI-based Planning Agents based on Atlassian Rovo. They are intended to support Product Managers in planning, dependency management, and identifying gaps in specifications and work management. As an intern, you actively work on this project.

• Participation in the analysis of the planning process for Portfolio Epics (Portfolio Epic > Capability > Feature > Story) in MB.OS vehicle development
• Preparation and structuring of relevant context data from Atlassian Jira (including dependencies) and the MB Knowledge Graph (system and component specifications)
• Support in the conception, configuration, and prototypical implementation of a Planning Agent with Atlassian Rovo, including prompt design
• Development and execution of test scenarios as well as obtaining feedback from expert reviews and user surveys
• Research on current developments around LLM-based agents and AI-supported planning in agile environments (e.g., SAFe)
• Documentation of results and presentation to stakeholders in the co//ab ART
• Collaboration on further topics around Way of Working and Toolchain in the team

• Studies in (Business) Informatics, Information Management, Industrial Engineering, or a comparable degree program
• Interest in AI systems, particularly LLM-based agents and Knowledge Graphs
• Knowledge of agile development methods (e.g., SAFe, Scrum) an advantage
• First experience with Atlassian Jira desirable
• Secure German and English skills in word and writing
• Proficient use of MS Office
• Independent, structured, and analytical work approach
• Commitment and teamwork skills