Senior Analyst, Enterprise AI & Gen 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: $81,549 - $122,342 per annum Hours: 37.5 hours per week Status: Permanent Full-Time Closing Date: September 2, 2026Position Summary The Senior Analyst, AI leads the design, development, implementation, and operationalization of enterprise Artificial Intelligence (AI) and Generative AI solutions that support clinical, research, operational, and corporate objectives. The role develops scalable AI architectures, agentic AI workflows, and reusable enterprise AI capabilities using cloud-based platforms and modern AI technologies. Working closely with business and technical stakeholders, the incumbent provides expert consultation, leads complex AI initiatives, and integrates AI solutions with enterprise systems and data platforms. The Senior Analyst, AI establishes governance frameworks, standards, and best practices to ensure AI solutions are secure, compliant, reliable, and aligned with organizational priorities.DutiesDesign, develop, and operationalize Enterprise AI and Agentic AI solutions using Azure AI Foundry and the Microsoft Azure ecosystemBuild reusable enterprise AI capabilities including LLM applications, AI agents, RAG, embeddings, vector search, and intelligent assistantsEstablish enterprise AI architectures, development standards, governance frameworks, and best practices for scalable AI adoptionDevelop and integrate AI services, APIs, and workflows with enterprise data platforms, applications, and business processesBuild agentic workflows and multi-agent solutions that automate and enhance clinical, operational, research, and corporate functionsImplement MLOps/LLMOps practices, deployment pipelines, monitoring, evaluation, and lifecycle management for AI solutionsEnsure AI solutions comply with privacy, security, responsible AI, and healthcare reg...