Analyst, AI

University Health Network; Toronto; On-site; CAD 74,000 - 111,000; Full time

Benefits offered by this job

Competitive packages

HOOPP pension

Transit access

Flexible work environment

Development opportunities

Job summary

University Health Network (UHN) in Toronto seeks an Analyst, AI to design, develop and support AI and Generative AI solutions for healthcare data. You will work on vector databases, embedding pipelines, semantic search, LLM applications and RAG to enable scalable AI-powered knowledge solutions.

You will collaborate with technical and clinical teams, ensure robust AI governance, monitor performance, and contribute to secure deployment, operations and responsible AI practices in a regulated

Qualifications

• Bachelor degree in CS/DS/Engineering/Math required.
• 1–2 years hands-on AI/ML or data science in production.
• Strong Python and SQL.
• Experience with ML frameworks like scikit-learn or XGBoost.
• Experience with Generative AI technologies including LLMs, prompt engineering, RAG pipelines, and embeddings.
• Experience building vector databases, semantic search systems, and retrieval architectures.
• Experience with vector databases such as Azure AI Search, Qdrant, or Pinecone.
• Experience with Azure Machine Learning and Azure AI Foundry.
• Proficiency in scalable AI workflows, APIs, deployment pipelines, and operationalization.
• Familiarity with responsible AI, governance, privacy, and regulated environments.
• Experience with LangChain, Semantic Kernel, or agentic AI frameworks an asset.
• Familiarity with MLOps / LLMOps and CI/CD practices an asset.
• Experience in healthcare, research, or other regulated industries an asset.

Responsibilities

• Design, build, and maintain enterprise vector databases for AI and LLM-powered applications.
• Develop embedding pipelines for structured and unstructured 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 orchestration capabilities.
• Establish standards and best practices for vector storage, retrieval evaluation, governance, and operational monitoring.

Skills

Python

SQL

scikit-learn

XGBoost

LLMs

Prompt engineering

RAG pipelines

Embeddings

Vector databases

LangChain

Semantic Kernel

MLOps

LLMOps

privacy

regulated environments

Education

Bachelor degree in Computer Science, Data Science, Engineering, Mathematics, or a related field

Tools

Azure AI Search

Qdrant

Pinecone

Azure Machine Learning

Azure AI Foundry

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

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, 2026

Position Summary

The 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.

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 orchestration capabilities
• Establish 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 field
• 1–2years of hands‑on experience delivering AI, machine learning, or data science solutions in production
• Strong programming skills in Python and SQL
• Experience with machine learning frameworks such as scikit‑learn or XGBoost
• Experience with Generative AI technologies including LLMs, prompt engineering, RAG pipelines, and embeddings
• Experience building vector databases, semantic search systems, and retrieval architectures
• Experience with vector databases such as Azure AI Search, Qdrant, or Pinecone
• Experience with Azure Machine Learning and Azure AI Foundry
• Proficiency in scalable AI workflows, APIs, deployment pipelines, and operationalization
• Familiarity with responsible AI, governance, privacy, and regulated environments
• Experience with LangChain, Semantic Kernel, or agentic AI frameworks an asset
• Familiarity with MLOps / LLMOps and CI/CD practices an asset
• Experience in healthcare, research, or other regulated industries an asset
• Exposure to enterprise AI platform design and AI enablement initiatives an asset

Why join UHN?

In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN.

• Competitive offer packages
• Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP https://hoopp.com/)
• Close access to Transit and UHN shuttle service
• A flexible work environment
• Opportunities for development and promotions within a large organization
• Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on‑site gyms, etc.)

Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration.

All applications must be submitted before the posting close date. UHN uses email to communicate with selected candidates. Please ensure you check your email regularly. At University Health Network (UHN), artificial intelligence technologies may be used to assist in the screening, assessment, and selection of candidates for this position. Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application. UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known. We thank all applicants for their interest, however, only those selected for further consideration will be contacted.