AI Project Management Intern

The Marmon Group LLC

As a part of the global industrial organization Marmon Holdings—which is backed by Berkshire Hathaway—you’ll be doing things that matter, leading at every level, and winning a better way. We’re committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone’s empowered to be their best.

Position Summary

The AI organization is seeking an AI Project Management Intern to support the coordination and delivery of artificial intelligence initiatives across business, technology, data, security, and support teams. This internship is designed for a student who is currently attending school and interested in learning how AI projects are identified, planned, developed, tested, deployed, governed, and adopted in a corporate environment.

This role will work closely with AI project managers, business stakeholders, data and engineering teams, application teams, cybersecurity, vendors, and end users to help keep AI projects organized, documented, measurable, and moving forward. The ideal candidate is organized, curious, detail-oriented, comfortable communicating with others, and eager to learn practical project management skills in an AI delivery environment.

What You Will Support

• AI Project Coordination: Assist with AI project plans, timelines, milestones, meeting notes, action items, risks, issues, dependencies, and follow-ups.

• Use Case Intake & Prioritization: Help organize AI use case requests, business requirements, expected outcomes, stakeholder input, and prioritization materials.

• Stakeholder Communication: Help prepare meeting summaries, status updates, project documentation, demos, communications, and adoption materials for business and IT teams.

• Testing & User Feedback: Support user acceptance testing, prompt or workflow validation, issue tracking, feedback collection, and readiness checklists.

• Responsible AI & Governance Support: Help maintain documentation related to data sources, access, risks, approvals, review checkpoints, and responsible AI considerations.

• Process Improvement: Help organize templates, trackers, project files, lessons learned, reusable artifacts, and repeatable AI delivery practices.

Key Responsibilities

• Support AI project managers and team members with day-to-day project coordination activities.

• Help maintain project plans, task trackers, timelines, status reports, decision logs, risk logs, and meeting materials.

• Capture meeting notes, decisions, action items, owners, target dates, open questions, and follow-ups.

• Assist with documenting AI use cases, business requirements, user stories, acceptance criteria, process notes, and stakeholder feedback.

• Help coordinate discovery sessions, demos, testing sessions, training discussions, and project check-ins.

• Support testing and validation activities, including test scripts, UAT feedback logs, defect tracking, prompt or workflow observations, and readiness items.

• Organize and maintain AI project materials in shared workspaces so project teams can easily find current information.

• Assist with adoption planning, communication drafts, training material preparation, user guides, and post-launch feedback collection.

• Help track project metrics, business outcomes, adoption signals, and lessons learned where available.

• Learn and follow IT governance, cybersecurity, privacy, compliance, documentation, and responsible AI practices.

• Contribute ideas to improve AI project coordination, communication, repeatable delivery methods, and stakeholder experience.

What You Bring

• Organization & Follow-Through: Ability to manage details, track action items, keep information organized, and help move tasks forward.

• Communication Skills: Clear written and verbal communication with the ability to summarize information professionally for business and technical audiences.

• Curiosity About AI: Interest in AI, automation, data, business processes, user experience, and how technology can improve work.

• Attention to Detail: Ability to capture accurate notes, maintain documentation, identify missing information, and spot inconsistencies.

• Collaboration: Comfortable working with business users, IT teams, data teams, engineers, project stakeholders, and vendors.

• Problem-Solving Mindset: Ability to ask thoughtful questions, identify blockers, organize next steps, and learn from feedback.

• Res