AI Engineer - Full time

Trillium Health Partners•Mississauga, ON

15h•CA$45 - CA$56

About The Position

Reporting to the Director, AI & Digital Planning, the AI Engineer will be responsible for using the latest AI tools to design, prototype, build, evaluate, and scale AI solutions including Generative and Agentic AI, that will be deployed and sustained across the enterprise with the lens of user experience, human-centred design, and product and lifecycle management. This role will advance Trillium HealthWorks priorities through the operationalization of AI within key priority projects including the Trillium Operations Centre and Trillium Connect, designing future systems that will be used in our foundational infrastructure projects.

Requirements

BS in computer science, engineering or a similar discipline, or equivalent practical experience
2-4 years in software engineering, AI engineering, or related role
Python proficiency
Experience building LLM-powered systems
Experience with at least one orchestration framework (LangGraph, LangChain, Semantic Kernel, or equivalent)
Experience with API design and integration
Familiarity with version control (Git) and CI/CD practices
Strong communication and collaboration skills to work effectively with cross-functional teams and customers
Ability to troubleshoot complex issues and identify root causes

Nice To Haves

Master's degree in Computer Science or a related technical field
Familiarity with agentic system design
Familiarity with MCP
Exposure to RAG pipeline architecture
Interest in healthcare AI
Familiarity with agentic and GenAI evaluation practice

Responsibilities

Design, build, and deploy intelligent agents and multi-agent systems that augment clinical and operational workflows, spanning task automation, decision support, and end-to-end process orchestration, using cloud AI platforms (e.g., Azure AI Foundry, Copilot Studio) and open-source frameworks
Collaborate with internal teams including Information Systems and Business Intelligence to develop AI solutions, using best practices for engineering, designing future systems for Trillium HealthWorks
Embed directly within clinical and operational teams to identify automation and agentic opportunities, integrate AI solutions into their specific workflows, and streamline day-to-day processes.
Manage the end-to-end lifecycle of AI solutions from design and development, to implementation and sustainability, using a product design mindset.
Develop API endpoints and implement Model Context Protocols (MCPs) for exchanging healthcare information and connecting AI agents to external tools and data sources.
Connect AI agents to core hospital systems (EHR, HRIS, ERP) via APIs to allow agents to perform actions, not just retrieve information.
Contribute to the design and implementation of techniques to optimize AI performance and grounding, including retrieval-augmented generation (RAG) pipelines, structured output enforcement, prompt engineering and versioning, and few-shot/chain-of-thought strategies to ensure AI solutions are accurate, context-aware, and aligned with clinical and operational data sources.
Build and maintain reliability and safety infrastructure for AI systems in a healthcare environment under the guidance of senior team members, including guardrails for input/output filtering and PHI protection, systematic evaluation and benchmarking frameworks (hallucination detection, clinical accuracy, bias testing), and human-in-the-loop patterns that define appropriate escalation thresholds and clinician review points.
Contribute to the design and maintenance of agentic orchestration workflows, including multi-agent coordination with state management and context passing, branching logic with error handling and fallback patterns, and observability/tracing infrastructure to support audit trails and regulatory compliance.
Ensure AI solutions comply with privacy, security, and responsible AI requirements, including PHIPA and organizational governance frameworks
Monitor and troubleshoot production issues to maintain high availability and reliability.