Senior Principal AI/ML Engineer - Onsite, Edge-to-Cloud

Hewlett Packard Enterprise Development LP; 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

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