Senior Machine Learning 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

You will build Agent Evaluation as a Service, Agent Optimization as a Service, and the MLflow-backed experiment layer that ties them together—plus the Metering Platform that bills those workloads on SAP AI Core. Evaluation as a Service will run systematic checks of prompts and agents against labeled datasets: traces, scorers, LLM-as-judge, tool-call correctness, groundedness, and regression suites so silent agent failures are caught before production. Optimization as a Service will close the loop: refine prompts and agent behavior against those metrics, write winners to the Prompt Registry, and keep workflows model-agnostic across Generative AI Hub models. You will wire MLflow-style tracking (runs, params, metrics, traces) so teams compare versions in AI Launchpad and feed scores into the next optimization. You will also design Python/Go backends that meter every eval and optimization run, close billing leaks, and stay observable and fault-tolerant on Kubernetes and Argo. You will document architecture, join agile rituals, and grow metering plus eval/optimize domain skill. Outcome: a reliable evaluate–optimize–bill platform that application teams can trust when they embed Generative AI Hub and AI Core.

What You Bring

You bring 8–14 years of backend development and a Bachelor's or Master's in Computer Science or a related field. You are proficient in Python and Go and have shipped microservices and REST APIs. You know Kubernetes and Argo Workflows, and have used AWS, GCP, or Azure. You have worked with experiment tracking or eval tooling and can reason about agent quality: datasets, LLM-as-judge, tool-call correctness, and prompt/agent optimization loops. You solve data-consistency and billing problems with care. You work well with global teams and learn metering, GenAI Hub evaluation/optimization, and AI-platform domains quickly. Nice to have: CI/CD, observability, distributed systems, Prompt Registry, SAP AI Core or Launchpad.

Where you belong

You belong on the SAP AI Product Engineering team in Business AI. We ship Agent Evaluation, Agent Optimization, and MLflow-backed tracking on Generative AI Hub, and  AI Core—from Germany, Singapore, and India—in a start-up culture.

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: [email protected].

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: 457348  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid