We help the world run betterAt 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 BuildThe 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 Platform Engineering- DevEx, laC, & LLMOps
Location: Hybrid - Newport Beach
Expected start date to end date: February 2026 - February 2027
Working hours: Part time - Full time 20 - 40 hrs./week
Now more than ever, engineering organizations need to operate cloud infrastructure and AI-powered systems faster, safer, and with far less manual effort. To support this, our Platform Engineering / DevOps organization is investing in Generative AI, Infrastructure-as-Code (IaC), Infrastructure-as-Data (IaD), and Developer Experience (DevEx) to modernize how infrastructure and operations are built and managed.
Taking a platform-first, automation-driven approach, this team focuses on building cloud-native, AI-assisted tooling that accelerates infrastructure migration, reduces operational toil, and helps engineers work smarter and faster. This role offers senior interns the opportunity to work on real, production-adjacent systems at the intersection of GenAI, Kubernetes, DevOps, and LLMOps.
What You'll BringWe're looking for someone who takes initiative, perseveres, and stays curious. You like to work on meaningful innovative projects and are energized by lifelong learning.
- Eligibility: Must be currently enrolled, or entry level (start date must be within 6 months of graduation date) from a coding academy/bootcamp, apprenticeship, associate, bachelor's, master's or JD/PhD program
As a
AI Platform Engineering Intern, you will be involved in all stages of building and delivering AI-powered DevOps and platform tooling: problem discovery, design, prototyping, implementation, validation, and iteration.
You may spend one day working with DevOps or SRE engineers to identify high-friction operational workflows, the next designing an AI-assisted migration or developer experience solution, and then implementing automation or agents that integrate directly into existing infrastructure pipelines. You will work hands-on with cloud infrastructure, Kubernetes-based platforms, and GenAI systems to solve real engineering problems.
Key responsibilities include:
- Designing and building Generative AI-powered tools or agents that:
- Generate, refactor, and validate Infrastructure-as-Code (e.g., Terraform, Helm, Crossplane)
- Assist with Infrastructure-as-Data (IaD) migrations by transforming configs, scripts, and runbooks into structured, declarative formats
- Act as developer or operational copilots for infrastructure and DevOps workflows
- Applying LLMOps / MLOps best practices, including:
- Prompt and workflow versioning
- Structured outputs and validation
- Evaluation, guardrails, fallback strategies, and cost/latency awareness
- Working hands-on with:
- Kubernetes, Helm, and cloud-native orchestration patterns
- Azure Cloud platform
- Building Developer Experience (DevEx) tooling such as:
- AI-assisted CLIs, internal portals, or chat-based tools
- "Golden path" workflows for infrastructure provisioning, deployment, or operations
- Self-service abstractions that reduce cognitive load while preserving safety
- Collaborating closely with DevOps, SRE, platform, and application engineers to:
- Validate AI-generated outputs against production standards
- Deliver production-quality code, automation, and documentation
Where You BelongBe 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.
You are an experienced intern with strong fundamentals in
cloud infrastructure, automation, and software engineering, and
proven hands-on experience applying Generative AI in practical systems.
Generative AI / LLMOps - Demonstrated hands-on experience building with Generative AI / LLMs, including:
- Using commercial or open-source LLMs via APIs
- Prompt engineering for code generation, transformation, or analysis
- Producing structured outputs (JSON, YAML, schemas)
- Exposure to LLMOps or MLOps concepts, such as:
- Prompt or model versioning
- Evaluation and quality measurement
- Deployment, monitoring, and rollback strategies
- Evidence of this experience through internships, research projects, open-source contributions, or substantial personal projects (e.g., GitHub repositories or demos)
- Infrastructure & Automation
- Strong understanding of Infrastructure-as-Code / Infrastructure-as-Data principles, including:
- Declarative infrastructure
- Idempotency, reconciliation loops, and drift detection
- Hands-on experience with:
- Kubernetes and core primitives
- Helm charts and templating
- At least one major cloud provider (AWS, Azure, or Google Cloud Platform)
- Familiarity with cloud orchestration or control-plane patterns (operators, controllers)
- Software Engineering
- Strong programming skills in one or more of:
- Python, Go, TypeScript/JavaScript, or Java
- Experience with:
- Git-based workflows and CI/CD pipelines
- Writing clean, maintainable, and testable code
- Debugging distributed or asynchronous systems
- Additional Strengths
- Experience building developer tooling or internal platforms is a strong plus
- Familiarity with:
- Agent-based systems or workflow orchestration
- Policy-as-Code (OPA, Kyverno) or security scanning
- Observability tooling (logs, metrics, tracing)
- Demonstrated ability to learn quickly, work independently, and make sound engineering decisions with minimal supervision
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Bring out your bestSAP 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.
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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 15-62 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 ProcessFor 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: 445449 | Work Area: Software-User Experience | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid
Requisition ID: 445449
Posted Date: Feb 3, 2026
Work Area: Software-User Experience
Career Status: Student
Employment Type: Limited Full Time
Expected Travel: 0 - 10%
Location:
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