• 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