Machine Learning Engineer Expert

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.

As a Expert Machine Learning Engineer your is to design, develop, and optimize innovative machine learning systems and systems based on product requirements. By staying updated on machine learning operations and engineering best practices, the role drives the integration of machine learning models into production software solutions, supporting real-world applications..

What you'll build

• You'll set the technical direction for production-grade AI products — agentic systems, LLM-powered applications, and semantic retrieval pipelines on a modern cloud platform — that put state-of-the-art capabilities into the hands of SAP customers and measurably improve how they run their business.
• You'll architect agentic workflows and orchestration patterns that automate complex, multi-step business processes across the enterprise, turning what used to be manual effort into reliable, scalable outcomes — and establishing the reusable building blocks other teams build on top of.
• You'll take AI from prototype to enterprise scale, setting the MLOps and AI quality-assurance standards — evaluation harnesses, CI/CD, monitoring, guardrails, model versioning, and cost/latency discipline — that other teams adopt across the area.
• You'll raise the bar on AI output quality, trust, and governance by engineering the context, prompts, retrieval, and evaluation that make our models accurate, safe, and compliant — and by treating data ethics, privacy, and responsible AI as first-class architectural concerns.
• You'll work with AI as a daily craft — using AI-assisted development and agentic tooling to multiply your own and your teams' output, while shaping how the broader engineering organization adopts these practices.
• You'll shape multi-quarter strategy and what's next by partnering across Engineering, Product, Design, and business stakeholders to identify where AI creates the biggest leverage, mentoring senior engineers and architects, and turning ambiguous problems into clear, executable roadmaps that advance SAP's applied AI portfolio.

What you bring

• Expert level of software engineering and architectural depth — you've designed and shipped large-scale, mission-critical SaaS on modern cloud platforms, with the judgment that comes from seeing multiple generations of technology mature in production.
• A modern, hands-on perspective on AI and machine learning — strong working knowledge of deep learning, LLMs, agentic systems, semantic retrieval, and context engineering — and you use AI tooling as a daily part of how you design, build, and ship software.
• Mastery of engineering craft applied to AI — fluency in Python/Java and the ML ecosystem (e.g., PyTorch, Hugging Face), comfort handling large-scale, real-world data, and a track record of turning prototypes into production-grade services with clean APIs, observability, evaluation, and CI/CD.
• A proven record of scaling AI systems in production — you've set the MLOps and AI quality-assurance standards (evaluation harnesses, monitoring, versioning, guardrails, cost and latency discipline) that other teams adopt, and you make the trade-offs that determine whether AI products succeed at enterprise scale.
• Cross-organizational technical leadership — you partner naturally with Product, Design, and business stakeholders, mentor senior engineers and architects, and turn ambiguous, multi-quarter problems into clear roadmaps that teams execute against.
• A principled view on responsible AI — you treat data ethics, privacy, and AI governance as first-class architectural concerns, and leadership relies on you to weigh in on the hard trade-offs between capability, risk, and customer impact.
• Transferable strengths that compound here — distributed systems, large-scale SaaS, and architecture leadership translate directly into building reliable, secure, operationally sound AI products. What sets you apart is the breadth of experience plus a genuine adoption mindset toward the AI frontier.

Where you belong

As Intelligent Spend and Business Network, we play a crucial role in addressing our customers' end-to-end procurement, travel and expense, and external workforce needs with visibility and agility across the entire supply chain. Our data science team is a team with diverse backgrounds which will value your individual contribution as well as your ability to collaborate effectively with the rest of the team to develop powerful and effective ML/AI solutions.

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.

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.

Requisition ID: 455005 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid