Overview
The AI Adoption Lead will embed AI into the department’s day-to-day operations by diagnosing workflows, co-designing AI-enabled solutions, and building local capacity for sustained adoption.
Key Responsibilities
- Provide hands-on coaching, training, and feedback loops to build staff comfort and competence with AI tools.
- Support teams in developing sophisticated, multi-step prompting workflows.
- Monitor adoption and usage patterns to ensure sustained uptake.
- Identify and develop AI superusers within each team.
- Map and diagnose existing workflows, identifying opportunities for AI-enabled improvement.
- Build and scale reusable AI-enabled solutions (e.g., prompt libraries, tools, workflow templates).
- Prototype and iterate quickly from diagnosis to working solution.
- Establish and maintain quality standards for AI-generated content and outputs.
- Develop review protocols and guardrails for AI use.
- Contribute to organizational thinking about responsible AI use.
- Build and maintain repeatable playbooks, prompt libraries, and workflow templates.
- Establish and run a lightweight intake and prioritization process for AI work.
- Define “what good looks like” for AI-enabled solutions.
- Document lessons learned, edge cases, and best practices.
- Continuously update resources as AI capabilities evolve.
- Feed insights, best practices, and emerging AI capabilities into IRC’s broader AI Transformation efforts.
- Stay current with frontier AI developments and proactively identify new opportunities.
Required Experience
4–7 years of relevant professional experience (e.g., process improvement, product management, solutions engineering, research operations, or a related field), with increasing recent focus on applying AI tools to personal and/or team workflows.
