Internal AI Developer - Spring 2026 Co-op

We may continue to review applications on a rolling basis, but recommend applying by January 26th at 9:00am ET to ensure you are included in initial application reviews.

Role Overview 

We're looking for a co-op student to accelerate how our teams use AI in real, practical ways. This role is hands-on and execution focused. You’ll work directly with Implementation & Training Services (ITS) and Learning Services (LS) to design, build, and maintain AI-enabled solutions that improve efficiency, consistency, and scale. 

Your work will focus on three areas: 

1. Creating and refining custom GPTs for internal service teams 


2. Supporting automation tool development using AI 


3. Researching and evaluating emerging AI tools that can be applied to Professional Services workflows 

This is not a theoretical or research-only role. You’ll be expected to ship working solutions and iterate based on real team feedback. 

Key Responsibilities 

• Design, build, test, and maintain custom GPTs tailored to ITS and LS use cases (e.g., delivery support, documentation, design assistance, enablement) 


• Partner with service leaders and practitioners to translate workflow pain points into AI-enabled solutions 


• Support the creation of AI-driven automation tools (prompt pipelines, lightweight apps, internal utilities) 


• Document AI tools, prompts, and usage guidelines to support adoption and scalability 


• Research new AI tools, platforms, and capabilities relevant to Professional Services (LLMs, Agents, automation, productivity tools) 


• Assess tools for value, risk, scalability, and alignment with internal governance standards 


• Contribute to internal best practices for responsible and effective AI use 

Required Skills & Capabilities 

• Strong interest in applied AI and automation (especially generative AI) 


• Hands-on experience with tools such as ChatGPT, custom GPTs, or similar LLM platforms 


• Ability to design effective prompts and iterate based on outputs and feedback 


• Basic scripting or automation experience (e.g., Python, JavaScript, low-code/no-code tools) 


• Strong analytical and problem-solving skills 


• Clear written communication skills for documentation and enablement materials 


• Comfortable working with ambiguity and evolving requirements 


• Ability to balance multiple tasks and manage a backlog of work 

Nice-to-Have Skills 

• Experience with APIs, workflows, or automation platforms (e.g., Zapier, Make, Power Automate) 


• Exposure to instructional design, consulting, or professional services environments 


• Familiarity with data privacy, security, or responsible AI concepts 


• Experience evaluating or piloting emerging technology tools 

Education Requirements 

Currently enrolled in a co-op or internship program in one of the following (or related) fields: 

• Computer Science 


• Data Science 


• Engineering 


• Information Systems 


• Human-Computer Interaction 


• Digital Media / Technology Programs 

What You’ll Gain 

• Real-world experience applying AI in a professional services environment 


• Direct exposure to how AI is operationalized at scale inside a global organization 


• Opportunities to ship tools that are used by consultants and delivery teams 


• Mentorship from leaders focused on AI adoption, learning design, and services innovation