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UNOPS

Artificial Intelligence (AI) Engineer

UNOPS
Switzerland · Full-time · Mid-Senior

Application period 14-Jul-2025 to 15-Aug-2025

Functional Responsibilities:

Under the supervision of the UNOPS Project Manager and in close collaboration with IAH, the AI Engineer will perform the following key functions: 2. AI solution integration with an enterprise data architecture 3. Responsible AI & Risk Management

  • Development of AI agents and custom Copilot-based end-to-end solutions
  • 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.


Education/Experience/Language requirements:

*FEMALE CANDIDATES ARE STRONGLY ENCOURAGED TO APPLY

*CANDIDATES WITH NO UNITED NATIONS OR UNOPS EXPERIENCE ARE STRONGLY ENCOURAGED TO APPLY

Education

  • 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.


Work Experience

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.


Language

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

Think big. Meet challenges head-on. Help people build better lives.
UNOPS embraces diversity and is committed to equal employment opportunities. Our workforce is made up of people from varied nationalities, cultures and races. They speak a range of languages and have different gender identities, sexual orientations, and abilities.
We encourage women and candidates from underrepresented groups in UNOPS to apply. These include candidates from racialized and/or indigenous groups, members of minority gender identities and sexual orientations, and people with disabilities. Click apply and join us!

Remarks: Please note that only shortlisted candidates will be contacted and advance to the next stage of the selection process.

Key Skills

Ranked by relevance

ai data visualization microservices fastapi python react cloud aws
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Posted
Jul 14, 2025
Type
Full-time
Level
Mid-Senior
Location
Geneva
Company
UNOPS

Industries

Non-profit Organizations

Categories

Information Technology

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