SAP helps over four hundred thousand customers worldwide work more efficiently and use business insights more effectively. Known originally for leadership in enterprise resource planning (ERP) software, SAP has expanded to become a market leader in end-to-end business application software and related services. As a cloud company with two hundred million users and over one hundred thousand employees globally, SAP is purpose-driven and future-focused, emphasizing a collaborative team ethic and personal development. The AI & Support Engineering organization has a decade of experience delivering enterprise AI at scale.

About the Position

Introduction

At SAP, we believe in bringing out the best in our employees. We are innovators, touching over 20 industries and 80% of global commerce. We offer a challenging yet rewarding environment, focusing on continuous learning, skill growth, strong benefits, and a supportive team.

Responsibilities

As an MLOps Engineer in Bellevue, you will be part of a new team dedicated to developing and maintaining AI and agentic solutions for customer support. These solutions will collaborate with thousands of SAP support engineers and interact with SAP's customers across various support scenarios. Your role will involve:

Building and maintaining AI infrastructure and pipelines.
Designing CI/CD workflows for model training, evaluation, deployment, and monitoring.
Automating model versioning, experiment tracking, and reproducibility practices.
Collaborating with engineers to operationalize and serve models reliably.
Managing the AI infrastructure stack, including GPU resources, orchestration, and serving frameworks.
Optimizing spend and resource utilization.
Partnering with security engineers to ensure solutions meet enterprise security, compliance, and availability standards.
Establishing MLOps best practices.
Reporting on progress to leadership.

Requirements

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.

Benefits

SAP offers a culture of inclusion, focus on health and well-being, flexible working models, constant learning, and skill growth. Specific benefits details can be found at SAP North America Benefits.

About Company

How to Apply

Interested candidates should apply through the SAP careers website. SAP is committed to Equal Employment Opportunity and provides accessibility accommodations. For assistance, contact Careers@sap.com. 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.