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 i Xp Intern
• Agentic AI and Data Products

Location: Pittsburgh, PA

Expected Start Date: May 2026

Role Overview

This internship sits at the intersection of Agentic AI, enterprise data engineering, and business transformation.

The Agentic AI & Data Products Intern will design, prototype, and evaluate AI-driven systems that leverage SAP Business Network and related enterprise data to automate workflows, enhance executive insights, and accelerate AI adoption across the Supply Chain Management Analytics team.

This is not a traditional data science internship.
This role focuses on:

Enterprise AI experimentation:

LLM orchestration

Intelligent data pipelines

Measurable business impact

The intern will contribute directly to Next Gen AI initiatives within SAP Business Network and support the development of scalable AI-enabled data products.

Key Responsibilities

Enterprise AI Experimentation

Design and execute structured AI experiment pipelines to validate enterprise use cases

Formulate hypotheses around AI-driven automation and decision support

Define evaluation metrics (accuracy, hallucination rate, business KPI impact, cost efficiency)

Document findings and present insights to technical and business stakeholders

Agentic AI System Development

Prototype LLM-powered agents that automate analytics workflows

Build Retrieval-Augmented Generation (RAG) pipelines using SAP and non-SAP data

Integrate APIs and structured enterprise datasets into multi-step AI workflows

Evaluate different models and prompt strategies for enterprise reliability

AI Data Productization

Help convert AI prototypes into reusable, scalable data products

Design AI-ready data models and structured outputs

Support development of metadata-driven and automation-first analytics solutions

Business Transformation Enablement

Partner with business stakeholders to identify high-impact AI use cases

Quantify AI-driven productivity and efficiency improvements

Support Next Gen data visibility and migration initiatives through intelligent automation

Translate technical findings into executive-ready summaries

Qualifications

Currently enrolled (or recent graduate within 6 Months) in an academic program (Bachelor’s, Master’s, or PhD) in Data Science, Computer Science, Information Systems, Engineering, Business Analytics, or related field

Strong Python and SQL skills:

Experience working with APIs and structured data

Familiarity with LLMs, embeddings, or machine learning workflows preferred

Understanding of experimentation concepts (A/B testing, evaluation metrics)

Ability to think both technically and strategically

Strong written and verbal communication skills

Preferred Experience (Nice to Have)

Experience with AI frameworks (Lang Chain, orchestration tools, model APIs)

Exposure to enterprise data environments (SAP, HANA, Datasphere, CRM systems)

Experience building small automation tools or agents

Interest in AI governance, explainability, or AI performance evaluation

What Success Looks Like

By the end of the internship, the candidate will be able to:

Independently design and run an AI experiment pipeline

Prototype an enterprise-grade AI workflow or agent

Evaluate model performance using technical and business metrics

Present AI findings with clear ROI implications

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.

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.

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.

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 Instaqram and don't miss anything about our experiences worldwide!

#Life AtSAP

#SAPNext Gen

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.

Compensation Range Transparency: 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 annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 0 - 0(USD) USD. The actual amount to be offered to the successful candidate 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. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.

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: 442329 | Work Area: Administration | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: #