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HR AI Agent Process Improvement Intern

Hewlett Packard EnterpriseSpring, TX

  • $26 – $30 / hour
  • Internship
  • Full time

Overview

Job Description

Students or recent graduates from an accredited college or university who are pursuing a degree in business, human resources, technology enablement, HR systems, data analytics, process improvement, or a related field. The internship provides hands-on experience supporting HR process discovery, simplification, standardization, and readiness for AI and automation across Corporate Functions HR and People Care.

Responsibilities

  • Support process discovery by preparing materials, documenting workshop discussions, and helping map current-state and future-state HR workflows.
  • Analyze process data, customer pain points, handoffs, rework, cycle times, recurring exceptions, and workflow variants under the guidance of senior team members.
  • Help identify opportunities to simplify steps, reduce unnecessary approvals, standardize repeatable activities, and improve the employee and HR user experience.
  • Assist in documenting business requirements, decision points, process rules, escalation triggers, data dependencies, and appropriate AI-to-human handoffs.
  • Contribute to AI and automation readiness assessments by researching use cases, organizing evidence, and preparing clear summaries for stakeholders.
  • Collaborate with process owners, HR Operations, People Care, HRBPs, HRIS, product teams, and subject matter experts on assigned transformation activities.
  • Support the development of user stories, acceptance criteria, test scenarios, operational readiness materials, and project status updates.
  • Maintain accurate process documentation, action logs, assumptions, risks, dependencies, and ownership records.
  • Participate in team meetings, working sessions, and periodic reviews; share progress and incorporate feedback in a timely manner.
  • Assist with measuring outcomes such as cycle-time reduction, fewer handoffs, lower rework, improved consistency, and capacity released.

Education & Experience

  • Currently pursuing a Bachelor's or Master's degree in business, human resources, information systems, data analytics, operations, or a related field.
  • Completion of coursework or academic projects involving process analysis, research, data interpretation, project management, technology, or continuous improvement is preferred.
  • No prior professional experience is required; previous internships, student organizations, research projects, or campus leadership experience are a plus.

Knowledge & Skills

  • Strong analytical, research, problem-solving, and organizational skills.
  • Ability to translate information into clear process maps, summaries, requirements, and presentations.
  • Effective written and verbal communication skills, with the ability to collaborate across functions and cultures.
  • Curiosity about AI, automation, HR technology, process improvement, and responsible use of data.
  • Attention to detail and ability to manage assigned tasks within agreed timelines.
  • Working knowledge of Microsoft Office tools; exposure to process-mapping, analytics, project-management, or collaboration tools is a plus.
  • A collaborative, solution-focused mindset and willingness to learn, ask questions, and challenge complexity constructively.

Impact & Scope

  • Works on defined assignments with guidance from an AI Process Analyst, project lead, or supervisor.
  • Contributes analysis and documentation that help prepare HR processes for responsible AI, automation, and continuous improvement.
  • Builds practical experience in cross-functional collaboration, process design, business analysis, and transformation delivery.
  • May work full time during school breaks or part time during the academic year, subject to local program requirements.

Success Measures

  • Quality and accuracy of assigned process maps, analyses, requirements, and project documentation.
  • Timely completion of deliverables and effective incorporation of stakeholder feedback.
  • Useful identification of process pain points, simplification opportunities, and AI or automation use cases.
  • Demonstrated growth in process analysis, collaboration, communication, and business problem-solving skills.

Skills mentioned

  • Project Management
  • AI
  • Data Analysis
  • Automation
  • Microsoft Office
  • collaboration tools
  • Process Mapping
  • HRIS

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