The Senior AI Systems Engineer will accelerate the implementation, stabilization, and operational deployment of priority AI applications within UNEP, supported by shared technical architecture and monitoring mechanisms.
A minimum of seven (7) years of progressively responsible professional experience in data science, machine learning, artificial intelligence, or related technical fields is required. Experience in implementing large language model (LLM)-based applications, including retrieval-augmented generation (RAG) architectures, document processing pipelines, and knowledge-based AI systems, is highly desirable. Proven experience with Cloud platforms (preferably Microsoft Azure, including Azure ML, Azure OpenAI, Azure AI Search or equivalent services); Data ingestion and orchestration tools; Vector databases and embedding-based retrieval systems; API-based system integration and backend services; Monitoring, logging, and performance optimization of AI systems in production environments; Implementing safeguards to mitigate hallucinations, prompt injection, and other AI-related risks is desireable. Experience working with environmental, geospatial, or policy-related data is desireable. Prior experience working within the United Nations system, international organizations, or similarly complex institutional environments is desirable.
An advanced university degree (Master’s degree or equivalent) in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Statistics, Engineering, Applied Mathematics, or a related quantitative field is required. A first-level university degree in combination with two additional years of qualifying experience may be accepted in lieu of the advanced degree.
