AI Platform Engineer Expert, ML Engineering — Development Platform

Be part of SAP's expert community, influencing global AI initiatives and mentoring talent to deliver impactful innovations.

Senior AI Platform Engineer, ML Engineering — Development Platform

You'll own the architecture and strategic roadmap for IBP's AI Skill Platform and ML toolchain — setting the standard for how ML, context engineering, and CI/CD practices power autonomous software delivery at enterprise scale.

• Architect autonomous engineering loops for development, ML model lifecycle, and maintenance at IBP scale.
• Own the roadmap for the AI Skill Platform, Model Context Protocol (MCP) server ecosystem, and context and knowledge engineering practices.
• Define CI/CD architecture for AI and ML pipelines — integrating model evaluation gates, experiment tracking, and governance checkpoints.
• Lead the design and operationalization of the gCTS/DDCI framework (SAP's Git-enabled continuous delivery toolchain for ABAP and AI components).
• Set and govern MLOps standards across IBP: evaluation harnesses, drift monitoring, and experiment management.
• Prototype emerging ML engineering approaches and translate them into governed, production-ready capabilities.

Where you belong

IBP Platform Engineering — Development Platform Engineering is a unified team spanning Development Platform, Site Reliability, and AI Platform Engineering. You'll work at the frontier of enterprise ML engineering on one of SAP's flagship cloud products. Your architectural decisions and standards will shape ML practices for hundreds of engineers globally. This role involves up to 10% travel.

Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Additional Information

You bring deep expertise in ML platform architecture and enterprise-scale AI toolchain design. You combine strategic thinking and business acumen with the influencing skills and emotional intelligence to solve complex problems and drive outcomes at scale.

• Machine learning operations (MLOps): continuous integration and deployment (CI/CD) for ML models, model evaluation, governance, drift monitoring, and experiment tracking.
• Architectural experience designing scalable AI and ML platforms in large enterprise environments, including SAP BTP.
• LLM orchestration, agentic orchestration, semantic retrieval, and context engineering for production-grade AI pipelines.
• AI governance operations, data ethics, and big data handling at enterprise scale.
• The ability to lead technical direction, influence without authority, and drive adoption across large engineering organisations.
• A practical approach to AI — you use automation and AI tools in daily workflows, design effective prompts, prototype solutions, and take responsibility for the quality and accuracy of AI-generated outputs.
• Degree not required for this role.
• Fluency in English is required for this role.

With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.

As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.

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 complete your application, please send an email with your request to the 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 age, race, religion, national origin, ethnicity, gender (including pregnancy and childbirth), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

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.