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

Principal AI & Machine Learning Engineer Location: Spring, Texas (Onsite)Expectation: Primary work from an HPE office. Job Overview 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. 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, 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. Required Qualifications 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 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. 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. Benefits Health & Wellbeing: comprehensive suite of benefits supporting physical, financial and emotional well‑being.Professional Development: programs to help employees reach career goals.Unconditional Inclusion: inclusive environment celebrating individual uniqueness. Equal Opportunity Employer Hewlett Packard Enterprise is an Equal Employment Opportunity/Veteran/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 need. We comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider qualified applicants with criminal histories. #J-18808-Ljbffr