Principal AI & Machine Learning Engineer

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

Job summary

Hewlett Packard Enterprise in Spring, TX (onsite) seeks a Principal AI & Machine Learning Engineer to lead design, development, and deployment of AI/ML applications, mentoring a team of engineers and aligning solutions with business goals.

You will work across Kubernetes, MLOps tools, cloud services, and secure AI practices, driving production-grade platforms from development to deployment while collaborating with analysts and architects.

Qualifications

• 12+ years hands-on software engineering with AI/ML focus.
• Kubernetes expertise including orchestration, Helm, pod management, scaling, troubleshooting.
• MLOps/AIOps tools such as MLflow, Kubeflow, Airflow, model registries, monitoring frameworks.
• Experience with cloud AI services on Azure, AWS, or GCP.
• Strong Python with FastAPI/Flask or similar frameworks.
• CI/CD pipelines and tooling (GitOps, Docker, Jenkins, GitHub Actions).
• Lead and mentor AI/ML teams; drive delivery and priorities.
• Experience with GenAI frameworks and vector databases.
• Observability/monitoring for AI workloads (Prometheus/Grafana/OpenTelemetry).
• Knowledge of AI security, governance, and responsible AI principles.

Responsibilities

• Design, develop, and deploy AI applications, microservices, and APIs on Kubernetes-based infra.
• Build end-to-end AI pipelines with deployment, monitoring, versioning, and MI/ML ops.
• Lead and mentor AI/ML engineers; conduct code reviews and set best practices.
• Evaluate and adopt new AI tools, frameworks, and open-source solutions.
• Collaborate with analysts and architects to align AI efforts with business goals.
• Create and maintain deployment runbooks and SOPs.

Skills

Hands-on AI/ML development

Kubernetes expertise

MLOps/AIOps practices

Cloud platforms (Azure/AWS/GCP)

Python programming

CI/CD pipelines

Team leadership

GenAI frameworks & vector DBs

Observability tools

AI security & governance

Education

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

Tools

Kubernetes tooling (Helm)

OpenTelemetry

Prometheus

Grafana

Job description

Principal AI & Machine Learning Engineer

This 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 "Hybrid" 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.

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,

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. Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

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We Are In the Acceleration Business. We help customers use technology to slash the time it takes to turn ideas into value. In turn, they transform industries, markets and lives. Some of our customers run traditional IT environments. Most are transitioning to a secure, cloud-enabled, mobile-friendly infrastructure. Many rely on a combination of both. Wherever they are in that journey, we provide the technology and solutions to help them succeed.

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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,

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

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