International Rescue Committee Head of AI & Program Technology Engineering Jobs in Kenya
Major Responsibilities
AI Strategic Leadership
Translate IRC's AI strategy and program priorities into a prioritized technical roadmap, in close partnership with program leaders, the SVP for Research, Innovation, AI, and People & Culture, and the T4P demand pipeline.
Stay at the edge of AI/ML advances — particularly in agentic systems, multimodal models, and edge/on‑device inference — and bring promising approaches to IRC's programs.
Serve as a core member of IRC's AI leadership, helping shape organizational direction alongside the SVP for Research, Innovation, AI, and People & Culture and other senior leaders.
Champion responsible, human‑centered AI deployment in sensitive humanitarian contexts, with the safety standards those contexts demand.
Represent IRC in technical discussions with partners, peer organizations, donors, and the broader humanitarian and AI sectors.
Team Leadership and Management
Manage and develop a team of engineers, applied AI engineers, and QA specialists. Hire well, raise the bar, and build a culture that attracts strong technical talent.
Establish engineering quality standards, development practices, and documentation protocols.
Maintain a prioritized backlog of program innovations and manage team capacity against demand.
Mature the team's AI development and DevOps practices and grow stakeholder buy‑in across the organization.
Identify opportunities to secure budget resources in support of innovation priorities.
Cross‑functional Partnership
Act as a genuine thought partner to program leaders — bringing AI fluency to their problems and humility about field realities.
Co‑design solutions that actually work in the field, not technology‑first answers in search of problems.
Partner with the Enterprise Applications team to ensure smooth handoffs of proven innovations for enterprise‑wide scale‑up.
Coordinate with the Enterprise Applications DevOps team on integration touchpoints, infrastructure dependencies, and shared engineering standards.
Job Requirements
AI and Engineering Depth
Hands‑on experience building and shipping production AI systems — agentic frameworks, LLM applications, RAG systems, computer vision, or applied ML pipelines.
Solid full‑stack foundation (Python, JavaScript/TypeScript, and modern frameworks) with technical credibility to engage directly with engineers on architecture and design decisions.
Experience with cloud architecture (Azure preferred; AWS/GCP transferable), including AI services, DevOps pipelines, and cost‑effective scaling.
Working knowledge of data security and privacy practices for sensitive or personally identifiable information.
How to Apply
For more information and job application details, see; International Rescue Committee Head of AI & Program Technology Engineering Jobs in Kenya
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