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

Socket.dev; Spring (TX); On-site; USD 152,000 - 349,000; Full time

Benefits offered by this job

Health benefits

Career development programs

Inclusive, flexible work culture

Job summary

Hewlett Packard Enterprise in Spring, Texas seeks a Senior Principal AI & Machine Learning Engineer to lead design, development, and deployment of AI/ML applications. You will mentor a team, define best practices, and deliver scalable AI solutions aligned with business goals.

The role requires extensive Kubernetes, MLOps, cloud AI services, and strong Python with FastAPI/Flask experience. Onsite daily work is expected in Spring, TX, with collaboration across business teams.

Qualifications

• 12+ years hands-on software engineering focused on AI/ML app development and deployment.
• Expertise in Kubernetes including orchestration, Helm, scaling, and troubleshooting.
• Strong experience with MLOps/AIOps tools and practices.
• Hands-on with cloud platforms (Azure, AWS, GCP) and their AI services.
• Strong Python programming, familiarity with FastAPI or Flask.
• CI/CD pipelines and GitOps, Docker, Jenkins or GitHub Actions.
• Leadership: mentor teams, drive delivery, manage priorities.
• Experience with GenAI frameworks and vector databases.
• Experience with observability tools for AI workloads and AI security basics.

Responsibilities

• Design, develop, and deploy AI applications, microservices, and APIs on Kubernetes.
• Build end-to-end AI pipelines with deployment, monitoring, versioning, and improvement.
• Lead and mentor AI/ML engineers, conduct code reviews, set best practices.
• Evaluate and adopt emerging AI tools and LLM tech to boost capabilities.
• Collaborate with analysts and architects to align AI work with business goals.
• Create technical docs, deployment runbooks and SOPs.

Skills

Kubernetes

Python

CI/CD

MLOps/AIOps

Cloud platforms

FastAPI/Flask

Team leadership

GenAI frameworks

Observability

AI security/governance

Education

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

Tools

GitHub Actions

Docker

Jenkins

Kubeflow

MLflow

Job description

Senior Principal AI & Machine Learning Engineer, Spring, Texas, OnsiteThis 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 onfinding 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.

#unitedstates

#unitedstates#operations

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.

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 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.