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

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 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 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 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. Recruitment Fraud Alert We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications. All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

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