Senior Principal AI & Machine Learning Engineer, Spring, Texas, Onsite

Hewlett Packard Enterprise Development LP; Spring, Northern (TX, KY); Hybrid; USD 152,000 - 349,000; Full time

Benefits offered by this job

Health & Wellbeing

Personal & Professional Development

Unconditional Inclusion

Job summary

Hewlett Packard Enterprise Development LP seeks an experienced Senior Principal AI & Machine Learning Engineer to design, develop, and deploy AI/ML-enabled applications. You will lead a team of AI engineers, define best practices, and deliver scalable AI solutions aligned with business goals.

Ideal candidates will have hands-on experience with Kubernetes, MLOps frameworks, cloud AI services, and strong Python skills (FastAPI/Flask).

Qualifications

• 12+ years hands-on experience in software engineering with a strong focus on AI/ML application development and deployment.
• Kubernetes – container orchestration, Helm charts, pod management, scaling, and troubleshooting.
• 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 with Agentic and GenAI frameworks and vector databases.
• Experience with observability and monitoring tools (Prometheus, Grafana, OpenTelemetry).
• Good understanding of AI security, responsible AI principles, and governance frameworks.

Responsibilities

• Design, develop, and deploy AI applications, microservices, and APIs on Kubernetes-based infrastructure.
• Build and maintain end-to-end AI pipelines covering deployment, monitoring, versioning, and continuous improvement using MLOps/AIOps tools.
• 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.
• Collaborate with Business Analysts, Architect and technical teams to align AI engineering with business objectives and ensure secure solutions.
• Establish and maintain technical documentation, deployment runbooks and SOPs.

Skills

Kubernetes

MLOps/AIOps

Python

FastAPI/Flask

Docker

Kubeflow

MLflow

Airflow

Azure/AWS/GCP

GitHub Actions

Prometheus

Grafana/OpenTelemetry

AI security/governance

Leadership/mentoring

Education

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

Tools

Docker

GitHub Actions

Prometheus

Job description

Senior Principal AI & Machine Learning Engineer, Spring, Texas, Onsite

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, Texas. 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.

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

Salary:

"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 152,000 - 349,000 in Texas The listed salary range reflects base salary. Variable incentives may also be offered."

"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. 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. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories."

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer.

HPE is an EEO Protected Veteran/ Individual with Disabilities.

Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement E-Verify (US & PR only) HPE is an E-Verify employer.

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.

Disclosure of Sensitive Personal Data

Please ensure the resume you submit to us does not include any sensitive personal data. Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation. To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.