Principal AI & Machine Learning Engineer Texas, Onsite

This role has been designed as “Onsite” with an expectation that you will primarily work from an HPE office.

Spring, Texas

• 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.

• 10+ 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 Git Ops, Docker, Jenkins, or Git Hub Actions.
• Lead and mentor development teams, drive delivery, and manage technical priorities.
• Experience working with Agentic and GenAI frameworks and vector databases.
• Experience with observability and monitoring tools (Prometheus, Grafana, Open Telemetry) for AI workloads.
• Good understanding of AI security, responsible AI principles, and governance frameworks.

• Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or a related field.

Annual Salary USD 152, in Texas. Variable incentives may also be offered.

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 based on qualifications, merit, and business needs. 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.