AI Readiness & Enablement Intern

Systems Engineering Inc • Portland, ME

2d • Hybrid

About The Position

At Systems Engineering, our mission is to enable exceptional outcomes for our clients, employees, and the community.

Our AI Readiness Intern will support nonprofit clients in building foundational understanding, readiness, and adoption of artificial intelligence, specifically within the Microsoft Copilot ecosystem. This role is focused on research and development (R&D), client enablement, and consulting support, working alongside Account Managers and consultants to help clients move from AI curiosity to practical, responsible use.

The intern will support 2–3 nonprofit clients at a time and contribute to internal learning by documenting insights, use cases, and adoption patterns. This is a hands-on, client-facing internship designed for individuals interested in AI enablement, consulting, and mission-driven technology impact. This internship will provide incredible learning opportunities, including:
Hands-on experience supporting AI adoption in real client environments
Exposure to consulting, client enablement, and roadmap development
Mentorship from experienced consultants and technology leaders
Development of skills relevant to future roles in AI enablement, consulting, or operations
This internship emphasizes responsible, ethical, and practical AI use. All work is performed under senior guidance with defined data security and governance standards.

Requirements

• Strong interest in artificial intelligence and practical technology adoption
• Familiarity with Microsoft 365 tools (Word, Excel, PowerPoint, Outlook, Teams)
• Excellent written and verbal communication skills
• Ability to translate technical concepts into clear, plain language
• Strong organizational skills and attention to detail
• Curiosity, adaptability, and comfort working in a learning-focused environment
• Experience with process mapping, documentation, or analysis
• Interest in change management or technology enablement
• Coursework or experience related to: Information systems, Business, consulting, or operations, nonprofit or mission-driven organizations with technology adjacent experience
• Candidates must be U.S. citizens or lawful permanent residents and be willing to undergo a thorough background check as part of the employment process.

Nice To Haves

• Exposure to Microsoft Copilot or other AI tools strongly preferred but not required.

Responsibilities

• Research Microsoft Copilot capabilities, updates, and best practices.
• Explore AI use cases relevant to nonprofit organizations (e.g., operations, fundraising, HR, finance, programs).
• Document findings, patterns, and lessons learned from internal and client-facing work.
• Contribute to internal playbooks, training materials, and enablement resources.
• Support delivery of introductory Copilot training sessions for nonprofit clients.
• Assist in preparing training materials, demos, and nonprofit-relevant examples.
• Help clients understand responsible AI use, limitations, and data considerations.
• Create follow-up resources such as tip sheets, FAQs, and quick-reference guides.
• Assist consultants and Account Managers with AI readiness assessments.
• Support discovery activities including workflow mapping and pain point identification.
• Help synthesize interview notes and assessment findings into clear summaries.
• Contribute to prioritization of AI opportunities based on impact and effort.
• Support development of client AI roadmaps (e.g., 30/60/90-day plans).
• Assist in outlining Copilot adoption strategies and enablement sequencing.
• Help articulate AI value and ROI in nonprofit-relevant terms (time saved, capacity gained, consistency).
• Prepare documentation and visuals to support client recommendations.
• Work in tandem with a consultant and Account Manager.
• Support 2–3 nonprofit client engagements simultaneously.
• Operate under defined governance and security guardrails.
• No unsupervised client commitments or access to sensitive client data.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed