AI Tech Lead

The ICRC is seeking an AI Tech Lead to drive the end-to-end design, architecture and deployment of AI and machine learning systems that support its mandate to protect and assist victims of armed conflict and other situations of violence. The AI Tech Lead will be the technical backbone of the ICRC’s AI transformation. The role translates operational challenges into production-grade intelligent systems and ensures every solution meets the ICRC’s stringent standards for data protection, ethical AI use and operational resilience. The role requires a deep understanding of AI/ML technologies, open-source platforms and best practices for building AI-driven solutions. Main Duties & Responsibilities Design and architect scalable end-to-end AI/ML solutions that align with business objectives and technical

. Lead the selection and implementation of tools, frameworks and technologies for building AI/ML models and systems. Develop machine learning models, algorithms and AI solutions for applications such as natural language processing (NLP), computer vision and large language models (LLMs). Cover the full lifecycle, from data ingestion and feature engineering to model training, experimentation, versioning and continuous delivery. Lead the infrastructure design for AI workloads on Kubernetes clusters, including container orchestration and security hardening. Design event-driven API integrations that connect AI services with existing ICRC platforms. Collaborate with product owners, data scientists, software engineers and DevOps teams to turn experiments into scalable models and integrate them into production systems. Establish AI/ML best practices, including MLOps, continuous integration and deployment (CI/CD) and monitoring of models in production. Provide technical mentorship and guidance to engineering teams on AI/ML projects and initiatives. Stay current with advancements in AI/ML technologies, trends and best practices, and apply them to real-world business challenges. Ensure AI/ML solutions comply with ICRC ethical standards, privacy laws and data security protocols.