AI Engineer - Developer Productivity

This hybrid role expects you to work on average two days per week 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 and provide flexibility to manage 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 and open up opportunities with HPE.

• Partner with the AI Process Lead and engineering teams to execute prioritized AI productivity initiatives
• Embed with teams to understand day‑to‑day coding workflows and identify practical improvement opportunities
• Create and maintain team‑level AI artifacts, including AGENTS.md, .github/copilot‑instructions.md, reusable prompts, and workflow playbooks
• Build and refine AI personas for concrete use cases (for example: PR reviewer, test gap detector, refactoring assistant)
• Implement AI‑assisted code review and developer workflow automations (Git Hub, CI/CD, scripts, internal tooling)
• Prototype and deliver tools in Python (or similar), with clear documentation and adoption guidance
• Track and report impact metrics for implemented changes (adoption, cycle time, review quality, defect trends)
• Provide enablement support through demos, office hours, and team training sessions

• 3+ years of software engineering experience with strong coding skills
• Practical experience using AI coding tools (Git Hub Copilot, ChatGPT, Claude, or similar) in software development workflows
• Experience delivering automation or developer tooling used by multiple engineers
• Strong written and verbal communication skills; able to explain technical trade‑offs clearly
• Comfortable operating in ambiguous environments while maintaining execution focus
• Familiarity with Git‑based workflows and CI/CD systems
• Growth mindset, curiosity, and willingness to experiment and iterate quickly

• Experience with prompt design and structured evaluation of AI output quality
• Experience creating internal technical documentation, runbooks, or enablement content
• Exposure to secure coding or quality engineering practices in review workflows

BS in CS, CE, or equivalent practical experience.

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports physical, financial, and emotional wellbeing.

We invest in your career because the better you are, the better we all are. We offer specific programs to help 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.

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We value varied backgrounds and provide flexibility to manage work and personal needs. We make bold moves together as a force for good.

Information about employee benefits in the US can be found at  The estimated job application period closure is July 27, 2026.

The expected salary range for this position is as follows. Actual offer may vary based on location, experience, and skill level:
United States – Annual Salary USD 126,500‑240,500 in Colorado; USD 120,500‑276,500 in Texas. The listed range reflects base salary; variable incentives may also be offered.

HPE 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 based on qualifications, merit, and business need. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider qualified applicants with criminal histories.