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Head of AI & Program Technology Engineering at International Rescue Committee

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Nairobi 🇰🇪 Kenya
Live
Remote
Senior
View Jobs in NGO / Non-Profit Associations
Posted 8 days ago (16 Sep 2026) Updated 5 days ago
How to Apply

Apply through the International Rescue Committee career portal at theirc.wd1.myworkdayjobs.com.

Job Description

The position leads the engineering team responsible for developing AI-driven solutions that support humanitarian programmes. The incumbent defines technical strategy, evaluates build‑vs‑buy options and sets architecture for offline and safety‑critical AI systems. They also oversee quality assurance and cultivate a high‑performing culture that attracts top talent. Collaboration with programme teams ensures AI innovations meet field requirements.

Qualifications & Requirements

  • • Bachelor’s degree in Computer Science, Data Science, Engineering or a related field
  • • 7–10 years of experience in AI, machine learning, or data‑driven technology leadership
  • • Proven track record of delivering AI solutions in challenging or low‑resource settings
  • • Strong expertise in predictive analytics, agentic systems, and offline AI deployment
  • • Demonstrated ability to set technical direction, evaluate technology options and define architecture
  • • Experience managing and growing high‑performing engineering teams
  • • Excellent communication, stakeholder management and partnership building skills

Required Skills

Responsibilities

  • • Lead a team of engineers and AI specialists to design and deliver AI‑powered program solutions
  • • Define and execute the technical strategy for the organization’s program‑facing AI portfolio
  • • Translate AI ambitions into a clear roadmap, making build‑vs‑buy‑partner decisions and setting system architecture
  • • Ensure AI systems operate reliably in low‑resource, high‑stakes environments, including offline smartphone deployments and safety‑critical agentic systems
  • • Oversee quality assurance, testing, and validation of predictive analytics and diagnostic models
  • • Foster a culture of engineering excellence and mentor team members to attract and retain top talent
  • • Partner closely with programme managers to align AI solutions with humanitarian impact goals