Artificial Intelligence (AI) Engineer

• Implement custom Retrieval-Augmented Generation (RAG) pipelines with vector search and document intelligence.
• Build function calling capabilities to trigger real-time backend services or frontend actions.
• Develop agentic AI systems that can reason, orchestrate multi-step tasks, and generate responses dynamically.
• Design AI solutions with Model Context Protocol to enable multi-step reasoning, memory retrieval, and agent-to-agent continuity.

• Engineer secure and scalable integrations between AI systems, OHCHR’s Data Foundation (Fabric/OneLake), APIs, and application layers.
• Build and deliver the OHCHR Data as a Service project, including AI-driven querying and interactive data visualization triggers.
• Use Azure AI Foundry and other orchestration tools to build multi-model, composable AI solutions.
• Develop and maintain APIs, microservices, and frontend code (JavaScript/React/Next.js) to support AI capabilities.

• Perform hands-on evaluation, testing, and benchmarking of AI models and frameworks across providers (Microsoft Azure/OpenAI, Google, AWS, open-source).
• Lead the implementation of red teaming, validation, and testing pipelines for AI solution safety, compliance, and robustness.

• Advanced university degree (Master’s degree or equivalent) preferably in computer science, information systems, data science, data analytics, or in a field related to the post description with five (5) years of relevant experience is required; OR
• A first-level university degree (Bachelor’s degree or equivalent) preferably in computer science, information systems, data science, data analytics, or in a field related to the post description with seven (7) years of relevant experience is desirable.

Required:

• Relevant experience is defined as experience building multimodal RAG systems, function calling, and AI agent orchestration.
• Experience with AI context protocols, including prompt engineering, memory retrieval, and building agentic systems capable of context-aware reasoning and actions is required
• Deep hands-on expertise in Python (FastAPI, LangChain, Azure AI services), Nodejs, and JavaScript/TypeScript (React, Next.js) is required
• Strong knowledge of Microsoft Azure (Azure AI Foundry, Fabric/OneLake, API Management) and/or ability to work across multiple AI providers is required
• Solid background in cloud architecture, secure APIs, identity (Entra ID), and governance is required
• Ability to deliver working code, AI models, and deployed solutions independently and efficiently is required

Desirable:

• Familiarity with digital product development, agile methodologies, or human-centered design is an asset.
• Awareness of AI ethics, responsible AI, and human rights considerations is desirable
• Experience working with or within the UN system or similar international organization is desirable. 

• Fluency in English (read, write, speak) is required.
• Knowledge of French is desirable.
• Knowledge of another UN official language is an advantage.