SAP iXp Intern - AI Technical Program Manager, AI & Machine Learning

SAP; Palo Alto (CA); On-site; USD 21,000 - 85,000; Full time

Benefits offered by this job

Mentorship from senior leaders

Hands-on AI projects

SAP Next Gen networking

Job summary

SAP iXp Intern - AI Technical Program Manager in Palo Alto is a paid internship building core AI capabilities and coordinating ML projects. You will work with ML engineers, data teams, and product managers to align goals and track progress.

You’ll gain mentorship from senior AI leaders and hands-on experience shaping AI products from concept to deployment, with exposure to enterprise-scale SAP initiatives and growth opportunities.

Qualifications

• Pursuing a Bachelor’s or Master’s degree in a technical field (CS/Engineering/Data Science).
• Solid AI/ML concepts understanding (supervised/unsupervised, LLMs, GenAI).
• Experience with data analytics concepts and BI reporting.
• Familiarity with SDLC and Agile methodologies.
• Strong written and verbal communication; ability to explain AI topics to non-technical audiences.
• Leadership in university clubs or hackathons.
• Experience building applications using Agentic engineering tools like Claude Code.
• Previous internship or project work in ML/DS/AI infrastructure.
• Knowledge of AI ecosystem: LangChain, GCP/AWS/Azure.
• Awareness of data privacy and responsible AI practices.

Responsibilities

• AI Lifecycle Coordination: drive ML projects through data collection, model training, evaluation, and deployment.
• Cross-Functional Alignment: connect ML engineers, software engineers, product managers, and data teams.
• Project Tracking: monitor milestones, datasets, metrics, and latency goals.
• Risk Mitigation: identify bottlenecks and elevate issues to senior TPMs or leads.
• Process Improvement: suggest workflows for data handoffs and model iterations.
• Documentation: maintain project wikis, status reports, model cards, and data dictionaries.
• Build reports: create updates for SAP leadership.

Skills

AI/ML concepts

Data Analytics

SDLC & Agile

Leadership experience

Communication skills

Claude Code

Education

Bachelor’s or Master’s degree in CS/Engineering/Data Science

Tools

LangChain

GCP

Azure

AWS

Claude Code

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

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 Technical Program Manager, AI & Machine Learning Location: Palo Alto, California Expected start date to end date: November 2026 - May 2027

• AI Lifecycle Coordination: Help drive projects through the unique phases of ML development, including data collection/annotation, model training, evaluation, and deployment.
• Cross-Functional Alignment: Act as the connective tissue between ML engineers, traditional software engineers, product managers, and data teams to ensure everyone is aligned on project goals.
• Project Tracking: Monitor milestones specific to AI projects (e.g., dataset readiness, model evaluation metrics, inference latency goals).
• Risk Mitigation: Proactively identify bottlenecks—such as data pipeline delays or compute resource constraints—and elevate issues to senior TPMs or engineering leads.
• Process Improvement: Observe how the AI teams collaborate and propose lightweight workflows to help streamline data handoffs and model iterations.
• Documentation: Maintain up-to-date project wikis, status reports, and model documentation (e.g., model cards, data dictionaries) for stakeholders.
• Build reports: Build reports and updates for SAP’s leadership team

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.

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.
• Solid foundational understanding of Artificial Intelligence and Machine Learning concepts (e.g., supervised vs. unsupervised learning, LLMs, generative AI, training vs. inference).
• Solid foundational understanding of Data Analytics and AI concepts (e.g., database structures, ETL/ELT processes, BI reporting, supervised learning, GenAI).
• Solid comprehension of software development lifecycles (SDLC) and agile methodologies.
• Exceptional written and verbal communication skills, with the ability to translate complex AI research or technical concepts for non‑technical audiences.
• Highly organized with a robust attention to detail and an initiative‑taking, problem‑solving mindset.
• Experience building an application using Agentic engineering tools like Claude Code
• Previous internship, research, or project experience working on ML, Data Science, or AI infrastructure projects.
• Knowledge with the AI ecosystem, including frameworks (e.g., Langchain) or platforms (e.g., GCP, Azure & AWS).
• Knowledge of data privacy, responsible AI practices, or model evaluation metrics.
• Knowledge with Excel & PowerPoint
• Demonstrated leadership experience in university clubs, hackathons, or group projects focused on AI/ML.

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. This opportunity offers hands‑on experience contributing to real‑world AI products and features, with the chance to help bring impactful solutions to users. You will get 1:1 mentorship from senior technical leaders in AI. This will help you build your skills. You will learn how to implement machine learning. You will also understand the challenges of AI product development.

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 bycontributing 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, andcreativity 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 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: [e-mail].

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 towards demonstrating SAP’s commitment to pay equity. SAP provides the hourly base salary 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.