
Head of AI – Program Technology Engineering
Posted Aug 28

Posted Aug 28
This is a fully remote position, open to applicants in United States, +3 more locations.
• Transform IRC's AI strategy and program priorities into a prioritized technical roadmap.
• Make decisions on build-vs-buy-vs-partner and establish the architectural direction for AI systems that support programs.
• Direct the design and development of AI-driven, program-focused solutions, which include agentic systems, predictive analytics, and AI diagnostics.
• Manage and develop a team of engineers, applied AI engineers, machine learning specialists, and quality assurance specialists.
• Set engineering quality standards, development methodologies, and documentation practices.
• Maintain a prioritized backlog and oversee team capacity in relation to demand.
• Advance AI development and DevOps practices.
• Collaborate with program leaders in health, education, protection, resettlement, and emergency response to co-create field-ready solutions.
• Work alongside Enterprise Applications and DevOps teams on handoffs, integrations, infrastructure dependencies, and engineering standards.
• Lead strategic collaborations with frontier AI organizations such as Anthropic and OpenAI.
• Design and manage high-availability architectures in Microsoft Azure, ensuring redundancy, security, backup, and recovery strategies.
• Research and propose AI/ML technology products, services, and standards.
• Supervise deployment pipelines, continuous integration/continuous deployment automation, infrastructure-as-code, and quality assurance processes.
• Ensure application availability and performance through monitoring, scaling, and proactive operations management.
• Monitor and optimize cloud expenses and model-inference costs.
• Maintain technical and policy documentation.
• Represent IRC in technical discussions with partners, peer organizations, donors, and in the humanitarian and AI sectors.
• Report directly to the Chief Information Officer and collaborate closely with the SVP for Research, Innovation, AI, and People & Culture.
• Practical experience in building and deploying production AI systems, including agentic frameworks, large language model applications, retrieval-augmented generation systems, computer vision, or applied machine learning pipelines.
• Strong full-stack capabilities in Python, JavaScript/TypeScript, and contemporary frameworks.
• Experience with cloud architecture; preference for Azure, with transferable skills from AWS/GCP.
• Familiarity with AI services, DevOps pipelines, and efficient scaling practices.
• Working knowledge of data security and privacy protocols for sensitive or personally identifiable information.
• 7–10+ years of experience in software engineering or technical product development.
• At least 3 years of experience leading engineers in a managerial or technical lead capacity.
• Proven ability to build or enhance strong engineering teams.
• Capability to engage non-technical leaders as a peer and effectively translate between technical and non-technical contexts.
• Comfortable operating across global teams, time zones, and diverse contexts.
• Genuine passion for making a humanitarian impact.
• A humble, human-centered approach with respect for those closest to the issue.
• Technical curiosity and a forward-thinking mindset.
• Preferred experience deploying AI in low-resource, low-bandwidth, or offline settings.
• Prior experience with humanitarian, development, or global health organizations is preferred.
• Proficiency in French or Arabic is preferred.
• Flexible remote work options.
• Hybrid/remote work availability.
• Occasional travel may be necessary for partner meetings, field engagements, and sector conferences.
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