SAP iXp Intern - AI Engineer

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 Engineer

Location: Montreal, QC

Expected start date to end date: September 2026 - August 2027

Work Hours: 24 hours per week

• Prototype and implement AI components: LLM-based pipelines, RAGs, tool/agent integrations, and evaluation environments.
• Implement backend services and APIs to expose AI capabilities (FastAPI/Flask or similar).
• Develop and maintain CI/CD and MLOps pipelines to move PoCs to replicable deployments (Jenkins, GitHub Actions, etc.).
• Containerize and deploy components using Docker and Kubernetes (or equivalents for local development).
• Assist in designing, running, and analyzing automated tests and evaluation metrics for model quality, hallucinations, latency, and cost.
• Collaborate with data engineers to build and maintain recovery indices, embedding pipelines, and feature stores.
• Participate in design work, sprint reviews, and cross-functional demonstrations with product, QA, and UX.
• Contribute to documentation, reproducible experiments, and internal enablement materials.

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.

• Master's student in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field.
• Strong Python programming skills; familiarity with JavaScript/TypeScript is a plus.
• Experience or coursework with ML/Deep Learning fundamentals and at least basic exposure to LLMs/transformer models.
• Familiarity with REST APIs and backend frameworks (FastAPI, Flask, Django).
• Experience with Git/GitHub and collaborative software development workflows.
• Basic knowledge of containers (Docker) and comfortable with Linux and cloud services.
• Interest in deploying ML systems, best practices in software engineering, and collaborative agile teamwork.
• Excellent communication skills in English and French (at least B2 level in both languages).

Optional (these are extras)

• Hands-on experience with Hugging Face, OpenAI, or other LLM platforms; experience in prompt engineering and evaluation.
• Familiarity with RAG approaches, vector databases (e.g., ChromaDB, Pinecone, Milvus, or FAISS), and embedding models.
• Exposure to MLOps/LLMOps tools (MLflow, BentoML), observability, and cost-conscious deployment.
• Experience with agentic frameworks (LangChain, LangGraph) or multi-tool orchestration.
• Knowledge of data engineering, Kubernetes, and cloud platforms.

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.

Our team is part of the SAP Data & Analytics organization, whose mission is to help businesses transform data into actionable insights, enabling them to make smart decisions, improve operations, and drive growth. Based in Paris and working closely with various SAP development teams worldwide (Walldorf, Vancouver, Dublin, Shanghai, Bangalore, and others), our team focuses on creating analytical and operational queries from data within SAP business line applications. We manage all phases of software development, from design and implementation to operational support, quality assurance, and deployment.

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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.

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 18.00 - 36.00. 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.

Due to the nature of the role, which involves global interactions with SAP entities, as well as with employees and stakeholders in Canada, functional proficiency in English is required for positions based in the Quebec.

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: 458022 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid