AI Adoption Lead

About IRC

The International Rescue Committee (IRC) responds to the world’s worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world’s largest international humanitarian non‑governmental organizations, working in more than 40 countries and 29 U.S. cities. IRC employees deliver lasting impact by restoring safety, dignity and hope to millions.

We are hiring an AI Adoption Lead to transform how Airbel works by embedding AI into the department’s day‑to‑day operations. This role is about understanding how work actually gets done, determining which tasks AI should own versus humans, and reconstructing workflows accordingly. The AI Adoption Lead will work alongside Airbel’s pillar and support teams diagnosing workflows, co‑designing AI‑enabled solutions, building the local capacity teams need to sustain adoption, and creating reusable tools and templates.

The goal is to raise the floor of AI fluency across Airbel while ensuring workforce independence.

• Capacity Building & Adoption – Provide hands‑on coaching, training, and feedback loops that build staff comfort and competence with AI tools. Support teams in developing sophisticated, multi‑step prompting workflows against real operational data. Monitor adoption and usage patterns, adjusting approach to ensure sustained uptake. Identify and develop AI superusers within each team who can champion and sustain AI‑enabled practices after direct engagement ends.
• Workflow Diagnosis & AI Solution Design – Work alongside pillar teams to map and diagnose existing workflows, identifying high‑value opportunities for AI‑enabled improvement. Build and scale reusable AI‑enabled solutions (prompt libraries, tools, and workflow templates) that can be deployed across teams. Prototype and iterate quickly, moving from diagnosis to working solution with minimal overhead. Ensure solutions are practical, sustainable, and designed for handoff.
• Quality Assurance & Responsible AI Use – Establish and maintain quality standards for AI‑generated content. Develop review protocols and guardrails to help teams use AI confidently while managing risk around hallucination, bias and data sensitivity. Contribute to organizational thinking about responsible AI use, ensuring Airbel’s practices reflect ambition and rigor.
• AI Systems, Intake & Scalable Infrastructure – Build and maintain repeatable playbooks, prompt libraries and workflow templates that allow AI‑enabled practices to scale. Establish and run a lightweight intake and prioritization process for AI work across the department. Define what good looks like for AI‑enabled solutions, ensuring new solutions meet standards before rollout. Document lessons learned and best practices in accessible formats.
  
  Update resources as AI capabilities evolve.
• Organizational Learning & AI Transformation – 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 for the department.

• 4–7 years of relevant professional experience (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.
• Deep fluency with frontier AI platforms (e.g., Claude suite), including comfort executing sophisticated, multi‑step prompting against real operational data and using AI to generate and iterate on functional tools (dashboards, automations and lightweight applications).
• Demonstrated ability to decompose how work actually gets done, determine which tasks AI should own versus humans and reconstruct workflows accordingly.
• Strong facilitation skills, with the ability to bring non‑technical colleagues along and build their confidence with AI tools.
• Strong written communication skills, particularly the ability to create clear, usable documentation and instructional materials.
• Strongly preferred:
  Experience…