AI Adoption Lead

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 (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you’re a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future.

The Airbel Impact Lab is the IRC’s “R&D” unit, working to maximize the impact of every humanitarian aid dollar through rigorous testing, innovative new solutions, and evidence-based scaling. We have led the field in impact measurement and cost analysis, and we drive breakthrough innovations that achieve 10x scale potential, 2x greater impact, and 20% more cost-effectiveness than existing solutions. Our Strategy & Delivery team enables this work by building and delivering the systems, processes, and other infrastructure that help ensure the department is efficient, high-performing, and high-impact.

Job Overview We are hiring an AI Adoption Lead to transform how Airbel works by embedding AI into the department’s day-to-day operations. This is not a technology-for-technology’s-sake role: it is about understanding how work actually gets done, determining which tasks AI should own versus humans, and reconstructing workflows accordingly. The AI Workflow Lead will work alongside Airbel’s pillar and support teams as a standing resource — diagnosing workflows, co-designing AI-enabled solutions, and building the local capacity teams need to sustain adoption independently. This is an individual contributor role for someone who can use AI platforms to rapidly build functional tools, automations, and workflows without writing traditional code.

This role sits within the Strategy & Delivery team but operates in close partnership with teams across the department. Rather than deep, sequential embedding with one team at a time, this person will support multiple teams simultaneously — providing hands-on guidance, building reusable tools and templates, and cultivating AI superusers who become self-sustaining champions within their own teams. The goal is not to build a portfolio of AI-enabled products and capabilities that raise the floor of AI fluency across Airbel, not to create dependency on a central AI expert. The AI Adoption Lead will also help establish a lightweight intake and prioritization process for AI work across the department, ensuring the highest-value opportunities are addressed first and that quality expectations are clear.

The work is concrete and varied. You might spend one week helping a research team redesign how they synthesize literature using AI, another building a prompt library for a team that produces grant proposals, and another coaching a program team through automating their reporting pipeline. Beyond team-level work, you will build and maintain the repeatable infrastructure — playbooks, prompt libraries, workflow documentation — that allows AI-enabled practices to scale across the department. You will also feed learning, best practices, and emerging capabilities into IRC’s broader AI Transformation efforts.

The ideal candidate is deeply fluent in frontier AI platforms and stays current with rapidly evolving capabilities. They are equal parts analyst, builder, and coach: able to decompose complex workflows, prototype AI-enabled solutions quickly, and bring colleagues along with patience and pragmatism. They have a bias for action, a high bar for what “good” looks like, and the judgment to know when AI adds genuine value versus when it doesn’t. If this person is great at their job, Airbel will be materially faster, sharper, and more capable — not because of any single tool, but because every team will work differently.

Major Responsibilities 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.
• Monit…