AI Tech Lead in Genève

pSince 1863, the International Committee of the Red Cross (ICRC) has worked to preserve human dignity and relieve suffering caused by war and armed violence. /p pIn collaboration with our Red Cross and Red Crescent partners around the world, we do everything we can to deliver life‑saving aid, reconnect families and locate missing people - helping those who need it most, regardless of who they are and what side of the front line they are on. /p pWe engage with authorities and armed forces on all sides, often confidentially, pressing for access to detainees to improve their living conditions and urging compliance with international humanitarian law to protect non‑combatants, including from digital threats. /p h3bPurpose of the Role /b /h3 pThe 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. /p pThe 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. /p pThe role requires a deep understanding of AI/ML technologies, open‑source platforms and best practices for building AI‑driven solutions. /p h3bMain Duties Responsibilities /b /h3 ul liDesign and architect scalable end‑to‑end AI/ML solutions that align with business objectives and technical requirements. /li liLead the selection and implementation of tools, frameworks and technologies for building AI/ML models and systems. /li liDevelop 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. /li liLead the infrastructure design for AI workloads on Kubernetes clusters, including container orchestration and security hardening. /li liDesign event‑driven API integrations that connect AI services with existing ICRC platforms.br/Collaborate with product owners, data scientists, software engineers and DevOps teams to turn experiments into scalable models and integrate them into production systems. /li liEstablish AI/ML best practices, including MLOps, continuous integration and deployment (CI/CD) and monitoring of models in production. /li liProvide technical mentorship and guidance to engineering teams on AI/ML projects and initiatives. /li liStay current with advancements in AI/ML technologies, trends and best practices, and apply them to real‑world business challenges. /li liEnsure AI/ML solutions comply with ICRC ethical standards, privacy laws and data security protocols. /li /ul h3bEducation Professional Background /b /h3 ul liBachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence or a related field. /li li10+ years of experience in software engineering, including 4+ years focused on AI/ML solutions architecture. /li liProven track record of architecting and deploying machine learning or AI solutions at scale. /li liCertification or experience in Agile delivery. SAFe certification is an asset. /li liExperience in a complex and diverse international environment is an asset. /li liExcellent written and spoken English. French is an asset. /li liStrong programming skills in Python and other relevant languages. /li liExperience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit‑learn or Keras. /li liProficiency in designing and implementing machine learning models, such as supervised, unsupervised and reinforcement learning. /li liExperience with MLOps practices, including model versioning, monitoring and lifecycle management. /li liExposure to deep learning techniques and architectures, such as CNNs, RNNs and Transformers. /li liGood knowledge of AI concepts such as retrieval‑augmented generation (RAG), agentic AI and the Model Context Protocol (MCP). /li liExpertise in containerization on Kubernetes for scalable AI deployments. /li liProven experience in API design and integration across heterogeneous systems and partners. /li liKnowledge of data privacy regulations and ethical considerations in AI. /li liExperience implementing GraphRAG or good knowledge of graph databases is an asset. /li /ul h3bAdditional Information /b /h3 ul liType of Contract: Open‑ended /li liLength of Assignment: Long term assignment /li liActivity Rate: 100% /li liStart date: January 2027 /li /ul pPlease note that the finalization of this recruitment is subject to the validation of the 2027 PfR. /p pThe ICRC values diversity and is committed to creating an inclusive working environment. We welcome applications from all qualified candidates. /p pThe ICRC values diversity and is committed to creating an inclusive working environment. We welcome applications from all qualified candidates. /p h3bOur Values /b /h3 pAt the ICRC, we value impact, collaboration, respect, and compassion. We seek candidates who demonstrate behaviors based on these shared values. For more information on the ICRC values, please visit this page. /p pJob Family: Communications / Information Management / Information Technologiesﾠ /p #J-18808-Ljbffr