AI Engineer – Developer Productivity

Hewlett Packard Enterprise

. Partner with the AI Process Lead and engineering teams to execute prioritized AI productivity initiatives .

Posted 9/30/2026full-timeUnited StatesMid-LevelSenior💰 $120,500 - $276,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI productivity initiatives, automation, and developer tooling, with a strong foundation in software engineering and coding practices. Proficient in utilizing AI coding tools and implementing effective workflows to enhance team performance and code quality.

Highest-signal resume keywords

Software Engineering ExperienceAI Coding Tools ProficiencyAutomation and Developer ToolingGit-Based Workflows FamiliarityStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonAI Artifacts CreationCode Review AutomationCI/CD ImplementationTechnical DocumentationPrompt DesignImpact Metrics TrackingWorkflow Playbooks DevelopmentRefactoring Assistant DevelopmentTest Gap Detection

Soft Skills

Written CommunicationVerbal CommunicationCuriosityGrowth MindsetExecution Focus

Tools & Technologies

GitHubGitHub CopilotChatGPTClaudeInternal Tooling

Certifications & Qualifications

BS in Computer ScienceBS in Computer Engineering

Industry Keywords

AI Productivity InitiativesDeveloper Workflow AutomationSecure Coding PracticesQuality Engineering PracticesTechnical Tradeoffs

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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 use cases such as PR reviewer, test gap detector, and refactoring assistant
Implement AI-assisted code review and developer workflow automations using GitHub, CI/CD, scripts, and internal tooling
Prototype and deliver tools in Python or similar technologies, with documentation and adoption guidance
Track and report impact metrics including adoption, cycle time, review quality, and defect trends
Provide enablement support through demos, office hours, and team training sessions

Requirements

What you’ll need

3+ years of software engineering experience with strong coding skills
Practical experience using AI coding tools such as GitHub Copilot, ChatGPT, Claude, or similar
Experience delivering automation or developer tooling used by multiple engineers
Strong written and verbal communication skills
Ability to explain technical tradeoffs 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
BS in CS, CE, or equivalent practical experience
Nice-to-have: experience with prompt design and structured evaluation of AI output quality
Nice-to-have: experience creating internal technical documentation, runbooks, or enablement content
Nice-to-have: exposure to secure coding or quality engineering practices in review workflows

Benefits

Comp & perks

Comprehensive benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Flexible work arrangements to manage work and personal needs
Inclusive workplace culture
Variable incentives may also be offered