Senior Principal AI & Machine Learning Engineer

Hewlett Packard Enterprise; Sunnyvale (TX); On-site; USD 157,000 - 361,000; Full time

Benefits offered by this job

Health & Wellbeing

Personal & Professional Development

Unconditional Inclusion

Job summary

Hewlett Packard Enterprise is seeking a Senior Principal AI & Machine Learning Engineer to design, develop, and deploy scalable AI applications and APIs from Spring, TX or Sunnyvale, CA, onsite. You will lead a team of AI/ML engineers and implement robust MLOps practices across development, staging, and production environments.

Collaborate with analysts and architects to ensure AI initiatives align with business goals, deliver secure and compliant solutions, and drive measurable outcomes in a

Qualifications

• 12+ years in software engineering focused on AI/ML development and deployment.
• Expertise in Kubernetes – container orchestration, Helm charts, pod management, scaling, and troubleshooting.

Responsibilities

• Design, develop, and deploy AI applications, microservices, and APIs on Kubernetes-based infrastructure.
• Build end-to-end AI pipelines with MLOps/AIOps tools and practices.
• Lead and mentor a team of AI/ML engineers, conduct code reviews, and define best practices.
• Continuously evaluate and adopt emerging AI tools, frameworks, LLM technologies, and open-source solutions to enhance platform capabilities.
• Collaborate with Business Analysts, Architects, and technical teams to align AI engineering efforts with business objectives and ensure secure, compliant solutions.
• Establish and maintain technical documentation, deployment runbooks and SOPs

Skills

Kubernetes

MLOps

Python

CI/CD

Docker

GitOps

FastAPI

Vector DBs

GenAI frameworks

OpenAI tools

Education

Bachelor's or Master's in CS/Engineering/AI/ML

Tools

Kubeflow

Airflow

Model registries

OpenTelemetry

Prometheus

Grafana

Job description

## Senior Principal AI & Machine Learning EngineerApply: Spring, Texas, United States of America: Sunnyvale, California, United States of America: Full time: Posted Today: 1206761Senior Principal AI & Machine Learning EngineerThis role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.**Who We Are:**Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.**Job Description:**We are looking for an experienced Principal AI Engineer to drive the design, development, and deployment of AI/ML-powered applications. Candidate should have strong hands-on experience in application development, lead and mentor a team of AI developers, define best practices, and deliver scalable, production grade AI solutions aligned with business goals. **Location: Spring, TX or Sunnyvale, CA****Onsite daily work required** **Key Responsibilities** * Design, develop, and deploy AI applications, microservices, and APIs on Kubernetes-based infrastructure, ensuring scalability, reliability, and performance across development, staging, and production environments.* Build and maintain end-to-end AI pipelines covering deployment, monitoring, versioning, and continuous improvement using modern MLOps/AIOps tools and practices.* Lead and mentor a team of AI/ML engineers, conduct code reviews, and define best practices.* Continuously evaluate and adopt emerging AI tools, frameworks, LLM technologies, and open-source solutions to enhance platform capabilities and team productivity.* Collaborate closely with Business Analysts, Architect and technical teams to align AI engineering efforts with business objectives and ensure secure, compliant solutions.* Establish and maintain technical documentation, deployment runbooks and SOPs **Required Qualifications** * 12+ years of hands-on experience in software engineering, with a strong focus on AI/ML application development and deployment.* Expertise in Kubernetes – container orchestration, Helm charts, pod management, scaling, and troubleshooting.* Strong experience with MLOps/AIOps tools and practices (e.g., MLflow, Kubeflow, Airflow, model registries, monitoring frameworks).* Hands-on experience with cloud platforms – Azure, AWS, or GCP, including their AI services.* Strong programming skills in Python; familiarity with FastAPI, Flask, or similar frameworks is mandatory.* Hands-on experience with CI/CD pipelines and tools such as GitOps, Docker, Jenkins, or GitHub Actions.* Lead and mentor development teams, drive delivery, and manage technical priorities.* Experience working with Agentic and GenAI frameworks and vector databases etc.* Experience with observability and monitoring tools (Prometheus, Grafana, OpenTelemetry) for AI workloads.* Good understanding of AI security, responsible AI principles, and governance frameworks. **Education** * Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or a related field. #unitedstates **Accessibility** HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.**What We Can Offer You:****Health & Wellbeing**We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.**Personal & Professional Development**We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.**Unconditional Inclusion**We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.**Let's Stay Connected:**Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.#unitedstates### ### #operations**Job:**Engineering**Job Level:**TCP\\_05 The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 178,000 - 361,000 in California // 157,000 - 361,000 in Texas The listed salary range reflects base salary. Variable incentives may also be offered.