AI Engineer — AI Efficiency and Economics

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

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 value varied backgrounds, offer flexibility, and make bold moves together.

• Assess how engineering teams are currently using AI tools (Git Hub 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 trade‑offs, 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 life cycles, 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.

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.

We invest in your career through specific programs tailored to help you reach any career goals you have.

We are unconditionally inclusive in the way we work and celebrate individual uniqueness, offering flexibility for work and personal needs.

Job Level:
Salary: $144,000 – $273,000 annually in Colorado; $137,000 – $315,000 in Texas (variable incentives may also apply).

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 are made on the basis of qualifications, merit, and business need.