Learn how teams across the business work (Customer Service, Operations, Merchandising, Marketing, Product, etc.) and identify high-impact opportunities where AI can help
Partner with stakeholders to define problems clearly, map workflows, and estimate potential value and effort
Research and evaluate AI tools and approaches (LLMs, copilots, workflow automation, search/RAG, lightweight agents) for business use cases
Build and test small prototypes or proofs of concept (e.g.: prompt workflows, chat-based assistants, automation scripts, internal knowledge helpers)
Create clear documentation and playbooks so others can reuse what you build (prompt guides, best practices, example workflows)
Help run simple enablement activities like demos, office hours, training sessions, and collecting feedback
Track results and learnings, including what worked, what did not, and recommendations for next steps
Follow responsible AI practices, including data privacy, security, and quality standards
Requirements
Currently pursuing a Bachelor’s degree as a rising Junior or Senior (graduating in 2027 or 2028), pursuing a Master’s degree, or an upcoming graduate (May 2026)
Interest in AI and curiosity about how it can be applied to improve real workflows
Comfortable learning new tools quickly and experimenting in a structured way
Strong communication skills, including the ability to explain technical concepts in plain language
Organized and self-directed, with attention to detail and follow-through
Analytical mindset, able to break down problems and propose practical solutions