Job DescriptionPosition: Senior AI Engineer
Department: AI & Digital Planning
Posting ID#: 7730
Status: Permanent Full Time
Site: Primarily 2085 Hurontario St, Cross sites
Salary Band: PG13 $56.25hr-$70.29hr ($109,688 to $137,065)
Reports To: Director, AI & Digital Planning
Posted: July 9, 2026
Internal Deadline: July 26, 2026
Job Description:Reporting to the Director, AI & Digital Planning, the Senior 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.
Key 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
- Define and document architectural patterns, technical standards, and design decisions that will serve as the foundation for THP's growing AI engineering team
- 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 and partner with clinical and operational leaders to translate complex workflow requirements into technical specifications and AI solution designs
- Manage the end-to-end lifecycle of AI solutions from design and development, to implementation and sustainability, using a product design mindset.
- Lead AI integration and implementation efforts within the hospital, and with partners
- 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.
- Design and implement 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 reliability and safety infrastructure for AI systems in a healthcare environment, 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.
- Design and maintain 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.
- Provide technical mentorship and guidance to team members and cross-functional partners, building AI literacy and engineering capability across the organization.
Qualifications & Skills:- BS in computer science, engineering or a similar discipline, or equivalent practical experience
- 5+ years experience in software engineering, with at least 2 years focused on AI/ML systems
- Python proficiency
- Demonstrated experience building and shipping LLM-powered applications to production
- Experience with at least one orchestration framework (LangGraph, LangChain, Semantic Kernel, or equivalent)
- Experience with API design and integration.
- Experience with version control (Git), CI/CD pipelines, and containerized deployments (Docker/Kubernetes)
- Strong communication and collaboration skills to work effectively with cross-functional teams and customers
- Ability to troubleshoot complex issues and identify root causes
Preferred Qualifications:- Master's degree in Computer Science or a related technical field
- Production agentic system design
- MCP implementation experience
- RAG pipeline architecture
- Healthcare data standards (HL7/FHIR)
- Agentic and GenAI evaluation framework design
- Experience in regulated industries (healthcare, finance, government)
Notes to Applicants:If you do not see yourself fully reflected in every job requirement listed on this posting, we still encourage you to reach out and apply. Research has shown candidates from underrepresented groups often only apply when they feel 100% qualified. We encourage applicants who are members of groups that have been marginalized on any grounds enumerated under the Ontario Human Rights Code to consider this opportunity.
