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. 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, 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: #unitedstates Job: Engineering Job 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. - United States of America: Annual Salary USD 144,000 - 273,000 in Colorado // 137,000 - 315,000 in Texas The listed salary range reflects base salary. Variable incentives may also be offered." 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.