INTERNSHIP DETAILS

PhD Internship (f/m/d) - AI Research - Knowledge Graphs for Agentic AI

CompanySAP
LocationBerlin
Work ModeOn Site
PostedJuly 17, 2026
Internship Information
Core Responsibilities
Conduct state-of-the-art research on how LLM-based agents access enterprise data using Knowledge Graphs. Publish research results and collaborate with academic and cross-functional partners to integrate findings into SAP product development.
Internship Type
full time
Company Size
146864
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
SAP is a global leader in enterprise applications and business AI. We help organizations run mission-critical operations across finance, procurement, supply chain, human resources, and customer experience -and move from systems that record work to systems that can help execute it. The Autonomous Enterprise brings together enterprise applications, trusted business data, and AI assistants and agents that can reason, recommend, and act within business processes -with governance, accuracy, and compliance built in. • Joule: the new engagement layer, bringing together data, workflows, and agents across SAP systems and beyond. • SAP Autonomous Suite: based on AI assistants and agents executing work across all domains. • Industry AI applications with built-in vertical processes, knowledge, data models, and regulatory logic. • SAP Business AI platform as the foundation that combines context, unified business data, and purpose-built models with enterprise governance. • Cloud Transformation: RISE with SAP and SAP GROW help organizations modernize their ERP landscape, move to the cloud, and adopt AI based on their business needs and starting point. Include SAP S/4HANA Cloud, acceleration services, and tools. Our Partners amplify SAP's value through solution innovations, deep product expertise, world-class services, and more. We’re committed to fostering meaningful, respectful conversations. To maintain a positive environment, we moderate comments that: Target individuals, including employees, customers, or partners. Contain discriminatory, harassing, or threatening content. Share personal information without consent. Promote misinformation, spam, or third-party links. We support open dialogue and constructive feedback but will remove content that violates these guidelines without notice. Thank you for contributing to a respectful community. For questions about moderation, please DM us or contact brandsocial@sap.com. SAP privacy statement for followers: www.sap.com/sps
About the Role

 

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 do

 

  • As a PhD Intern (f/m/d) you will work with a team of experienced researchers and applied scientists taking on challenges informed by scaling AI methods across and beyond the broad portfolio of SAP’s business software. You will have the chance to work with some of the richest data sets available in the world addressing problems that have impact on our customers.
  • Perform state of the art research on how LLM-based Agents access Enterprise Data at scale using Knowledge Graphs.
  • Publish research results and contribute to research that can be applied to SAP product development.
  • Collaborate with academic researchers and cross-functional partners including communicating research plans, progress, and results.
  • Other Locations possible: Berlin / Waldorf / Virtual remote


 
What you bring

 

  • You are a PhD student at least in your second year or PostDocs, specializing in the research area of Knowledge Graphs, agentic AI, QA system and knowledge retrieval.
  • A strong publication record in recognized ML/NLP conferences or journals such as ACL, EMNLP, or NeurIPS.
  • Proficient in PyTorch and Python with a good understanding of statistical analysis and shell programming.
  • Must be fluent in English.

 

The duration of the internship is at least 4 months but ideally 6 months and should take place in 2026.

 

Meet your team 


SAP's AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers to enhance business processes and generate remarkable business value. Leveraging the cutting-edge developments in AI research along with SAP’s unparalleled enterprise data assets offers a distinctive opportunity to explore an uncharted domain within AI research. As a vital part of this organization, our team is dedicated to pioneering transformative advancements in high-value domains, including Foundation Models for structured data and the development of comprehensive grounding for widespread SAP applications through Knowledge Graphs.

 

#SAPBusinessAICareers

 

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: 444008  | Work Area: Information Technology  | Expected Travel: 0 - 10%  | Career Status: Graduate  | Employment Type: Limited Full Time   | Additional Locations: #LI-Hybrid


Job Segment: ERP, Cloud, SAP, Statistics, Compliance, Technology, Data, Legal

Key Skills
Knowledge GraphsAgentic AIQA SystemsKnowledge RetrievalPyTorchPythonStatistical AnalysisShell ProgrammingLLM-based AgentsMachine LearningNatural Language Processing
Categories
Science & ResearchTechnologySoftwareData & AnalyticsEngineering
Benefits
Constant LearningSkill GrowthHealth And Well-being SupportFlexible Working Models