AI Engineer – AI Efficiency, Economics

Hewlett Packard Enterprise

AI Engineer optimizing AI tools and workflows at Hewlett Packard Enterprise. Aiming to drive adoption and improve outcomes in engineering teams through evaluation and recommendations.

Posted 5/30/2026full-timeSpring • Colorado, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $137,000 - $315,000 per yearWebsite

About the role

Key responsibilities & impact

Assess how engineering teams are currently using AI tools and identify high-value improvement opportunities.
Evaluate AI-assisted workflows and recommend changes that improve outcomes and reduce waste.
Build lightweight instrumentation, analysis, dashboards, or automation tools to measure AI usage patterns.
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.

Requirements

What you’ll need

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.
Demonstrated ability to drive behavior change, improve operating practices, and influence technical organizations.
Strong communication and presentation skills.
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.

Benefits

Comp & perks

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

software engineeringAI-enabled workflow optimizationLLM-based toolsbehavior changeoperating practices improvementLLM evaluation techniquescost analysisCI/CDCT

Soft Skills

communication skillspresentation skillsself-directednavigating ambiguitycuriosityanalytical opennesswillingness to test ideaslearning from evidencerefining recommendations