Working Student (f/m/d) - GenAI & ML Engineering in Cloud Operation & Trust Office

Job Description

We help the world run better

At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

What you'll build

We are looking for a motivated Working Student (f/m/d) to join our GenAI and ML engineering work within Cloud Operations and Trust (Security) Area. This is a hands-on role where you will contribute to projects which help us operate the products in SAP Customer Experience suite of products. You will work alongside senior engineers, own bounded features and experiments end-to-end, and build practical experience with the tools and architectures shaping enterprise AI today.

In this role, you will:

• Support and contribute to the development of AI-native applications, including RAG pipelines, LLM integrations, agentic workflows, and embed into standard software
• Own small, well-scoped features or research tasks end-to-end, under guidance from senior engineers
• Prototype and test AI/ML ideas, document findings, and present results to the team
• Help build and maintain tooling, scripts, and evaluation frameworks that improve team productivity
• Participate in Agile ceremonies (standups, sprint reviews) and contribute to backlog refinement with technical input
• Stay current with developments in the GenAI and ML ecosystem and bring fresh perspectives to the team

What you bring

Education & Track Record

• Currently enrolled in a Master's program in Computer Science, Data Science, AI, Software Engineering, or a related field (Bachelor's students with strong AI/ML coursework considered). Solid academic or project experience with Python and at least one AI/ML framework
• Demonstrated curiosity about Generative AI, LLMs, or ML systems through coursework, personal projects, or research

Technical Skills

• Solid Python skills and comfort working with AI/ML libraries (e.g., LangChain, Hugging Face, scikit-learn, pandas) Databricks is a plus
• Familiarity with LLM concepts: prompt engineering, RAG basics, embeddings, vector search
• Experience with REST APIs and at least one cloud platform (AWS, Azure, or GCP) is a plus. SAP BTP is a plus
• Comfort with Git, CI/CD basics, and collaborative development workflows
• Any exposure to SAP BTP, CAP, or enterprise software environments is a bonus, not a requirement

Soft Skills & Ways of Working

• Genuine curiosity and a growth mindset — you ask good questions and learn quickly
• Ability to work independently on a defined scope while knowing when to ask for help
• Clear communicator, comfortable sharing progress and blockers with the team
• Motivated by real impact — you care that what you build actually works and matters
• Comfortable with ambiguity and iterative work in a fast-moving environment
• Language requirements: fluent in English, German is a plus

Working from the office in Walldorf, St. Leon-Rot, Frankfurt Eschborn, or Munich is required at least once per week

Where you belong

You will be joining a team at the intersection of enterprise software and cutting-edge AI, working on problems that have real stakes in Cloud Operations Domain.

If you are a Master's student (f/m/d) who wants to bridge academic AI knowledge with real engineering practice and you are excited about GenAI, ML, and the challenge of making AI work reliably in enterprise contexts, this is a strong fit.

Your set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships). Please also describe your experience and skills in foreign languages and computer programs / programming languages.

This is a SAP global, strategic, paid working student position that provides students with opportunities to find purpose in their careers.

#Workingstudent #Werkstudent #Germany #Deutschland #Student #LIHybrid #SAPGermanStudentsCareers #SAPNextGen

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 455870 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Part Time | Additional Locations: #LI-Hybrid