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Spring, Texas, United States of America, United States of America
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:
What You’ll Do
· Assess how engineering teams are currently using AI tools (GitHub Copilot, VS Code agents, LLMs in CI/CD, etc.) and identify high-value improvement opportunities
· Evaluate AI-assisted workflows using measures such as quality, speed, adoption, and cost efficiency, and recommend changes that improve outcomes and reduce waste.
· Build lightweight instrumentation, analysis, dashboards, or automation tools to measure AI usage patterns and support optimization experiments.
· Partner with engineering leads and individual contributors across multiple teams to drive adoption and behavior change
· Present findings, proposals, and results to engineering leadership; create clear, compelling documentation and slide decks
· Stay current on model capabilities, pricing, workflow patterns, and optimization techniques, and translate emerging developments into practical recommendations for AI usage and governance.
· 5+ years of experience in software engineering, technical strategy, developer productivity, or AI-enabled workflow optimization.
· Hands-on experience evaluating or using LLM-based tools and workflows in technical or enterprise settings, including an understanding of where they create value and where they introduce cost or inefficiency.
· Demonstrated ability to drive behavior change, improve operating practices, and influence technical organizations through analysis, recommendations, and collaboration.
· Strong communication and presentation skills, with the ability to explain tradeoffs, influence decisions, and make complex analyses actionable.
· Self-directed and comfortable navigating ambiguity across teams, workflows, and emerging AI practices.
· Experience with LLM evaluation techniques including cost analysis
· Familiarity with modern software development lifecycles, including CI/CD/CT
· Curiosity, analytical openness, and willingness to test ideas, learn from evidence, and refine recommendations over time.
· Experience creating metrics dashboards
BS in CS, Economics, Data Science, or equivalent practical experience.
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.
Job:
EngineeringJob Level:
TCP_04"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
The estimated job application period closure is July 27 2026; this timeline is provided for transparency and internal planning purposes.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.