AI Engineer | Full time | AI Innovations

Job Description

Requisition Number: 8943

Position: AI Engineer

Status: Full Time

Number of Vacancies: 1

Department: AI & Digital Planning

Role Level: Professional Group PG10 ($45.02 to $56.28)

Site: 2085 Hurontario St, Mississauga

Work Mode: Hybrid

Shift/Hours of Work: Monday to Friday

Posted: Oct 8, 2026

Deadline: Oct 15, 2026

Job Description:

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.

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
• 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.

Qualifications & Skills:

• 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

Preferred Qualifications:

• 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

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.

Candidates are selected on the basis of their skill, ability, experience and qualifications.

Where these factors are relatively equal seniority shall govern providing the successful applicant.

Building an Antiracist and Equitable Team and Why it is Important to Us - A New Kind of Health Care for a Healthier Community

When we set out to build our vision and future, we connected with and heard from our community - patients, families, visitors, physicians, staff and volunteers. Our plan to create a new kind of health care for a healthier community means advancing health across the hospital, the system and the community and is built on an inter-connected system of care organized around patients and leaving no one behind. Recognizing this mission could not be realized without also assessing and investing in our internal practices, culture and processes we are building an organization where everyone at THP feels they belong, their voice matters, and contributes to our collective success. We commit to making systemic fairness a reality for all and are working to ensure that the community we serve is reflected at all levels, and in all professions at THP. Diversity is our strength and we recognize and value teaching and learning we all contribute and benefit from in our environment; our unique lived experiences matter and shape our actions and behaviors. In becoming an antiracist organization, we acknowledge the existence of oppression, racism, bias and complicity, and we have been working steadily to make changes in the way we work to dismantle these barriers. This includes developing and realizing an action plan to advance racial equity and embed anti-racism accountability across IBH, starting with our anti-Black racism priority initiative.