Summary: Join the AI & Support Engineering organization to build and maintain customer support AI and agentic solutions. You will design, train, and evaluate ML models, optimize RAG pipelines, and productionize applications to enhance SAP's customer support offerings.

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 ML 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:

Design, train, and evaluate AI models that power customer support solutions.
Build and optimize RAG pipelines, embeddings, and agentic workflows for enterprise use.
Develop evaluation frameworks to measure model accuracy, relevance, and task completion.
Translate business problems into ML solutions with measurable outcomes.
Collaborate with team members to productionize applications.
Use prompt engineering, model orchestration, and tool-calling patterns to improve agents.
Stay current with the fast-evolving AI landscape.
Contribute to responsible AI and document model features, limitations, and design decisions for technical and non-technical stakeholders.

What you bring

3+ years of experience in ML engineering or data science delivering production solutions.
Strong foundation in ML and NLP.
Proficiency in Python, ML frameworks (e.g. PyTorch) and modern AI tooling (e.g. LangChain, Hugging Face)
Practical experience with LLMs, including fine-tuning, prompt engineering, RAG, and agentic architectures.
Solid understanding of evaluation methodologies.
Experience translating research into reliable production systems.
Ability to collaborate effectively across engineering, product, and business teams.
Curiosity and a continuous-learning mindset to keep pace with a fast-moving field.
Knowledge of privacy, security and compliance requirements for enterprise software.
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.

#LI-HD2

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](https://one.int.sap/me@sap/jobs_and_hiring/employee_referral/region/0000/lang/en), 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](https://www.sapnorthamericabenefits.com/en/public/welcome).

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](https://jobs.sap.com/content/Ethical_usage_of_AI_in_the_recruiting_process/?locale=en_US).

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Machine Learning Engineer - Bellevue, WA

About this role

More from SAP

Similar roles