HPE
Senior Principal AI & Machine Learning Engineer
$157K–$361K
Spring, Texas, United States of America +1 · Principal · Full-time · Posted Oct 15, 2026
- Location
- Spring, Texas, United States of America
Sunnyvale, California, United States of America - Experience
- 12+ years of hands-on software engineering experience.
- Education
- Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or a related field.
About the job
Designs, deploys, and leads development of scalable AI/ML applications and production solutions on Kubernetes, aligned with business goals.
What you'll do
- Design, develop, and deploy AI applications, microservices, APIs, and end-to-end AI pipelines.
- Lead and mentor AI/ML engineers, conduct code reviews, and establish engineering best practices.
- Collaborate across business and technical teams to deliver secure, compliant solutions and maintain technical documentation.
What they ask for
- 12+ years of hands-on software engineering experience focused on AI/ML application development and deployment.
- Expertise in Kubernetes and strong MLOps/AIOps experience.
- Hands-on cloud experience with Azure, AWS, or GCP, including AI services; strong Python skills and familiarity with FastAPI, Flask, or similar frameworks is mandatory.
- Experience with CI/CD, team leadership, Agentic and GenAI frameworks, observability tools, and AI security and governance.
Pay
USD 178,000 - 361,000 (California; base salary); USD 157,000 - 361,000 (Texas; base salary)
Tools
Kubernetes, Helm, MLflow, Kubeflow, Airflow, Azure, AWS, GCP
AI focus
Build and deploy AI/ML applications and pipelines; work with Agentic and GenAI frameworks, AI services, MLOps/AIOps, AI security, responsible AI, and governance.
Model-written summary · the original posting is authoritative