INTERNSHIP DETAILS

SAP iXp Intern - AI Research PhD Associate

CompanySAP
LocationStanford
Work ModeOn Site
PostedJune 26, 2026
Internship Information
Core Responsibilities
The intern will conduct state-of-the-art research on agentic AI systems, LLM fine-tuning, and synthetic data generation to solve real-world enterprise challenges. They will collaborate with experienced researchers and cross-functional partners to publish results and contribute to SAP product development.
Internship Type
full time
Salary Range
$15 - $62
Company Size
148722
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 Build

 

The SAP Internship Experience Program is SAP’s global, strategic, paid internship program that provides university students with opportunities to find purpose in their careers. This is more than an internship, it’s the foundation for a career built on connection, creativity, and impact.

 

Position title: SAP iXp Intern - AI Research PhD Associate
Location: Palo Alto/Seattle
Expected Start Date: September 2026
Contract Duration: 6 months
Work Hours: Full-time, 40 hours per week

 

  • As a PhD Intern you will work with a team of experienced researchers and data scientists taking on challenges posed by the SAP customers and product units. You will have the chance to work with some of the richest data sets available in the world addressing real-world problems
  • Perform state of the art research to advance the performance of agents in enterprise environment
  • Choose from different focus topics: Agentic AI systems development and evaluation, LLM fine-tuning and reinforcement learning, or synthetic data generation for enterprise environments.
  • 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
     

What You’ll Bring

 

We’re looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and are energized by lifelong learning.

 

  • You are a PhD student at least in your second year or PostDocs, specializing in our research area: Agentic AI systems or scalable synthetic data generation for agents
  • Experience with a strong foundation in AI, including building agentic AI systems, LLM and agent evaluation, LLM fine-tuning and reinforcement learning, and synthetic data generation
  • A strong publication record in recognized ML/NLP conferences or journals such as ACL, EMNLP, ICLR, ICML, NeurIPS
  • Proficient in LangGraph, or some agentic system development framework, with a good understanding of agent evaluation and best practices
  • 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.

Where You Belong

 

Be part of SAP Next Gen, a global community for students, universities, schools and educational partners, who are passionate about innovation and technology.

 

  1. Culture of Collaboration: Partner with experienced SAP colleagues and expert mentors who will support your growth. Grow professionally through personalized mentoring, coaching, and career development support.
  2. Project-driven Experience: Kickstart your career with hands-on learning experience, making an impact from day one by contributing to meaningful projects that help the world run better. You’ll have endless learning resources at your fingertips and gain future-ready skills from a variety of virtual, in-person, and hybrid learning sessions, cultivated just for you, and aligned with our learning approach.
  3. Gain Visibility: Build relationships with leaders and peers across teams and functions. Showcase your ideas, skills, and creativity in a global, fast-paced environment. Open doors for future career opportunities within SAP and beyond.

 

Follow @LifeatSAP on Instagram and don't miss anything about our experiences worldwide!

 

#LifeAtSAP #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, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

 

SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the hourly base salary rate range applicable for the posted role. The targeted range for this position is 15.00 - 62.00. The actual amount to be offered to the successful candidates will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. SAP offers limited benefits for employees hired into hourly or like roles subject to appliable plan/policy terms. A summary of benefits and eligibility requirements can be found by clicking this link:  www.SAPNorthAmericaBenefits.com.

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: 453230  | Work Area: Information Technology  | Expected Travel: 0 - 10%  | Career Status: Student  | Employment Type: Limited Full Time   | Additional Locations:  #LI-Hybrid


Nearest Major Market: San Jose
Nearest Secondary Market: Palo Alto

Job Segment: ERP, SAP, Equity, Cloud, Research, Technology, Finance

Key Skills
Agentic AILLM fine-tuningReinforcement learningSynthetic data generationLangGraphMachine learningNatural language processingData scienceResearchPythonAI evaluation
Categories
TechnologyScience & ResearchSoftwareData & Analytics
Benefits
Paid internshipMentoringCareer development supportLearning resourcesHealth and well-being support