University Health Network
Healthcare
SeniorAnalyst
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Analyst at University Health Network. Skills: Vector databases, Generative AI, RAG pipelines, Semantic search. Design enterprise vector databases. Build enterprise vector databases”
Industry & Context.
What They're Looking For.
Must Have
Bachelor degree in Computer Science, 3–5 years of hands-on experience, Python programming skills, SQL programming skills, Experience with scikit-learn, Experience with XGBoost, Experience with Generative AI, Experience building vector databases, Experience with Azure AI Search, Experience with Qdrant, Experience with Pinecone, Experience with Azure Machine Learning, Experience with Azure AI Foundry, Proficiency in scalable AI workflows
Nice to Have
PhD preferred, Experience with LangChain an asset, Experience with Semantic Kernel an asset, Experience with agentic AI frameworks an asset, Familiarity with MLOps an asset, Familiarity with LLMOps an asset, Familiarity with CI/CD practices an asset, Experience in healthcare an asset, Experience in research an asset, Experience in regulated industries an asset, Exposure to enterprise AI platform design an asset, Exposure to AI enablement initiatives an asset
What You'll Do.
Design enterprise vector databases
Build enterprise vector databases
Maintain enterprise vector databases
Develop embedding pipelines
Implement vector indexing
Implement semantic search
Implement RAG architectures
Optimize retrieval performance
Optimize chunking strategies
Optimize metadata filtering
Optimize similarity search accuracy
Integrate vector databases
Build scalable data ingestion pipelines
Build embedding refresh pipelines
Support agentic AI workflows
Establish standards for vector storage
Establish best practices for vector storage
Establish standards for retrieval evaluation
Establish best practices for retrieval evaluation
Establish standards for governance
Establish best practices for governance
Establish standards for operational monitoring
Establish best practices for operational monitoring
Full Job Description
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](https://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: June 23, 2026 Position Summary Duties * Design, build, and maintain enterprise vector databases for AI and LLM-powered applications * Develop embedding pipelines for structured and unstructured healthcare data * Implement vector indexing, semantic search, and Retrieval-Augmented Generation (RAG) architectures * Optimize retrieval performance, chunking strategies, metadata filtering, and similarity search accuracy * Integrate vector databases with Azure AI Search, Qdrant, Pinecone, or similar platforms * Build scalable data ingestion and embedding refresh pipelines for continuous AI operations * Support agentic AI workflows with memory, context retrieval, and tool
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