AI Engineer — AI Efficiency and Economics

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.

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.

Must-Have Qualifications

• 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.

Nice-to-Have

• Experience creating metrics dashboards
Education

BS in CS, Economics, Dat...