Analyst, AI

University Health Network • Toronto, ON

2d • CA$74,114 - CA$111,170 • Onsite

About The Position

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.

Requirements

• Bachelor degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
• 1–2 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• Competitive offer packages
• Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP)
• 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.)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level