United States Role overview
About this role
Help shape how IBM teaches and adopts AI at scale. You'll get hands-on with emergent AI practices and building blocks — things like writing SKILL.md files, authoring agent skills, and other conventions the field is still inventing — across tools like Copilot, Rovo, Slackbot, and Box AI. You'll bring a fresh perspective on what concepts and skills we should be teaching employees as this space evolves. Experiment with emergent AI-building practices (e.g., authoring SKILL.md files, agent skill design, prompt/skill packaging conventions) across platforms like Copilot, Rovo, Slackbot, and Box AI Help design and test "Recipes" and learning concepts for the Toolbox (Digital Workplace) AI Cookbook based on hands-on findings Support pilots of new AI practices and document findings and readiness gaps Help deliver enablement sessions and Office Hours, including prep materials and follow-up content Analyze adoption data and summarize results for team and leadership reviews Draft user-facing content and triage questions in Toolbox (Digital Workplace) AI community channels Pursuing a Bachelor's or Master's in Computer Science, Information Systems, HCI, or related technical field Ability to learn new, still-evolving concepts quickly and explain them to non-technical users Strong written communication and basic data analysis skills (e.g., Excel or SQL-level) Hands-on curiosity with generative AI — prompt design, agent skills, or similar emergent conventions Familiarity with enterprise collaboration tools (Microsoft 365, Slack, Box, Jira, etc.) Comfort picking up new, still-evolving technical standards quickly