Machine Learning Operations Engineer (MLOps)

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 do

 

As a MLOps Engineer in Bellevue, you will join a new team dedicated to building and maintaining customer support related AI and agentic solutions that collaborate with thousands of SAP support engineers worldwide and that interact with all of SAP’s customers as part of SAP’s mission critical and daily customer support offerings in preventive, reactive and value-adding scenarios across SAP’s product and support portfolio. Your team will be part of the AI & Support Engineering organization with a decade of experience delivering enterprise AI at scale.

 

In your role, you will:

 

• Build and maintain AI infrastructure and pipelines.
• Design CI/CD workflows for model training, evaluation, deployment, and monitoring.
• Automate model versioning, experiment tracking, and reproducibility practices.
• Collaborate with engineers to operationalize and serve models reliably.
• Manage the AI infrastructure stack, including GPU resources, orchestration, and serving frameworks.
• Optimize spend and resource utilization.
• Partner with security engineers to ensure solutions meet enterprise security, compliance, and availability standards.
• Establish MLOps best practices.
• Report on progress to leadership.

 

What you bring

 

• 3+ years of experience in MLOps, DevOps or platform engineering for ML or AI systems.
• Proficiency with containerization and orchestration (Docker, Kubernetes).
• Experience with ML lifecycle tooling (e.g. MLflow, Kubeflow).
• Hands-on knowledge of cloud platforms (Azure) and infrastructure-as-code (e.g. Terraform).
• Familiarity with LLM serving, inference optimization, and model-serving frameworks.
• Solid software engineering and scripting skills, particularly in Python.
• Understanding of monitoring, observability, and alerting for production systems.
• Experience building automated, reliable CI/CD pipelines.
• Knowledge of security and compliance requirements for enterprise software.
• Passion for AI with a keen sense for automation.
• Fluent in English.

 

Meet your team

 

We build intelligent solutions for the customer support ecosystem from data to production. Our experienced engineers and data experts are known for their innovation culture. We use AI to help customers faster, smarter and more preventive.

 

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, 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 annual combined range for this position is 101900-224000USD. 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 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: 455498  | Work Area: Software-Development Operations  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid