Senior Analyst, AI

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: $81549 - $122342 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 orchestration capabilities
• Establish standards and best practices for vector storage retrieval evaluation governance and operational monitoring

Qualifications :

• Bachelor degree in Computer Science Data Science Engineering Mathematics or a related field
• 35 years 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

Additional Information :

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 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 UHNs 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.

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.

Remote Work :

No

Employment Type :

Full-time