Working Student (f/m/d) - SAP Enterprise Architect – AI Use Case Development

SAP SE

WerkstudentGerman needed: fluent

Still open on 3 Nov

You apply on the company's own website.

Key facts

Where you work: Company and home
Language needed: German and English
Subject you study: Business Informatics, Computer Science, Business Administration, Engineering

You'll work at the intersection of AI and enterprise architecture, contributing to GenAI use cases that create real value for SAP clients.
Collaborate with GenAI experts to develop and explore AI-driven use cases for enterprise clients
Engage with clients, management consultants, and business leaders across industries and business units
Plan and deliver work packages in platform development, digital projects, and customer adoption scenarios
Research and share knowledge on GenAI trends and digital business developments
Apply Design Thinking and agile methods to structure and solve business problems
Prepare and present results to stakeholders across different functions

You're studying Business Informatics, Computer Science, Business Administration, or Engineering — ideally with a digital focus — and want to explore how AI transforms enterprise business.
Currently enrolled as a Master's student at a German university, with a completed Bachelor's degree
A solid grounding in Business Informatics, Computer Science, Business Administration, or Engineering
Familiarity with GenAI concepts and tools such as Claude Code, Agentic AI, or RAG
Proficiency in MS Office (Word, Excel, PowerPoint) and programming experience, ideally in Python
A customer-oriented mindset with strong analytical and creative problem-solving skills
Fluency in German and English is required for this role.
Working from an SAP office in Germany is required
We also look for people who communicate clearly, keep the customer in mind, and enjoy finding smart solutions to problems — whatever stage of your career you're at.
In addition to the role-specific skills above, all student and early talent positions at SAP look for candidates who are open to working with AI tools — including agentic AI — to automate everyday tasks, prototype ideas, and build confidence in AI-assisted ways of working from day one.

You'll work at the intersection of AI and enterprise architecture, contributing to GenAI use cases that create real value for SAP clients.
Collaborate with GenAI experts to develop and explore AI-driven use cases for enterprise clients
Engage with clients, management consultants, and business leaders across industries and business units
Plan and deliver work packages in platform development, digital projects, and customer adoption scenarios
Research and share knowledge on GenAI trends and digital business developments
Apply Design Thinking and agile methods to structure and solve business problems
Prepare and present results to stakeholders across different functions

You're studying Business Informatics, Computer Science, Business Administration, or Engineering — ideally with a digital focus — and want to explore how AI transforms enterprise business.
Currently enrolled as a Master's student at a German university, with a completed Bachelor's degree
A solid grounding in Business Informatics, Computer Science, Business Administration, or Engineering
Familiarity with GenAI concepts and tools such as Claude Code, Agentic AI, or RAG
Proficiency in MS Office (Word, Excel, PowerPoint) and programming experience, ideally in Python
A customer-oriented mindset with strong analytical and creative problem-solving skills
Fluency in German and English is required for this role.
Working from an SAP office in Germany is required
We also look for people who communicate clearly, keep the customer in mind, and enjoy finding smart solutions to problems — whatever stage of your career you're at.
In addition to the role-specific skills above, all student and early talent positions at SAP look for candidates who are open to working with AI tools — including agentic AI — to automate everyday tasks, prototype ideas, and build confidence in AI-assisted ways of working from day one.