Analyst, AI

UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto.UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality.www.uhn.ca Union: Non-union Number of vacancies: 1 New or Replacement Position: New Site: Toronto General Hospital Department: Data & Analytics Reports to: Principle Advanced Analytics Consultant Salary Range: $74,114 - $111,170 per annum Hours: 37.5 hours per week Status: Temporary Full-Time (8 months) Closing Date: September 4, 2026Position SummaryThe Analyst, AI supports the design, development, implementation, and ongoing support of AI and Generative AI solutions. The role specializes in vector databases, embedding pipelines, semantic search, NLP, LLMs, and Retrieval-Augmented Generation (RAG) to enable scalable AI-powered applications and knowledge solutions.The incumbent develops and optimizes AI solutions, including RAG pipelines, vector search, LLM applications, and AI guardrails for secure and reliable use of AI. Working with technical and business teams, the role analyzes requirements, evaluates AI performance, supports deployment and operations, and contributes to AI governance, monitoring, security, and responsible AI practices.DutiesDesign, build, and maintain enterprise vector databases for AI and LLM-powered applicationsDevelop embedding pipelines for structured and unstructured healthcare dataImplement vector indexing, semantic search, and Retrieval-Augmented Generation (RAG) architecturesOptimize retrieval performance, chunking strategies, metadata filtering, and similarity search accuracyIntegrate vector databases with Azure AI Search, Qdrant, Pinecone, or similar platformsBuild scalable data ingestion and embedding refresh pipelines for continuous AI operationsSupport agentic AI workflows with memory, context retrieval, and tool orchestration capabilitiesEstablish standards and best practices for vector storage, retrieval evaluation, governance, and operational monitoring Bachelor degree in Computer Science, Data Science, Engineering, Mathematics, or a related field1–2 years of hands-on experience delivering AI, machine learning, or data s...