Implementation Engineer

Are you passionate about helping people live their healthiest lives? Do you thrive in a dynamic, supportive environment where your contributions truly matter? If so, Medcan is the place for you!

This job posting is for a current vacancy.

Role Summary

Join Our Team as a highly skilled AI Integration Lead to design, implement, and maintain AI-driven solutions integrated with Microsoft Azure Cloud Infrastructure. This role bridges the gap between advanced AI technologies and enterprise systems, ensuring secure, scalable, and efficient deployments across cloud environments.

What You’ll Do

Architect and deploy AI / ML models and services using Azure AI Services, Azure Machine Learning, and Azure Cognitive Services.

Manage end-to-end delivery of AI integration projects : requirements, architecture, design, testing, deployment, and documentation.

Build and maintain pipelines in Azure DevOps for model deployment, monitoring, and continuous integration.

Use Azure Monitor, Log Analytics, and Application Insights for observability and optimization of AI integrations.

Maintain detailed architecture diagrams, integration workflows, and governance policies for AI deployments.

Work closely with the integration vendor to ensure solutions are designed and implemented according to Medcan’s standards for scalability, security, and compliance.

Ensure MCP (Model Context Protocol) readiness for agentic AI integrations and establish standards for onboarding AI tools and services.

Analyze existing integration patterns and technologies; identify opportunities for modernization and optimization.

Maintain compliance with privacy, security, and healthcare regulations (PIPEDA, PHIPA) across all integration points.

Drive continuous improvement by introducing best practices for integration, automation, and DevOps in a lean team environment.

What You’ll Need

Education : Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (Master’s preferred).

Experience : 5+ years in systems integration or enterprise application connectivity, with at least 3+ years in a lead or architect role.

Proven expertise in Azure Integration and AI Services.

Strong knowledge of API design principles (REST, OpenAPI / Swagger), API security (OAuth 2.0, OIDC, mTLS), and governance best practices.

This is a full-time hybrid position (2 days in office) working 40 hours per week based on business needs between regular office hours Monday – Saturday (8 AM - 5 PM). Our downtown Toronto clinic is conveniently located at 150 York St., which is nearby St. Andrew station or a 10-minute walk from Union Station!

Position Pay Range

$85,122.00 - $117,042.75 CAD annually

Pay will be determined based on an analysis of the selected candidate's experience and qualifications within the role's compensation grade. Medcan's compensation ranges are determined by a combination of required qualifications and skills, market value, and internal equity. The above range pertains solely to the base compensation and is not inclusive of additional compensation details such as perks, benefits, and potential bonuses or incentives.

Diversity, Equity and Accessibility

Medcan is dedicated to employment equity, diversity and inclusion. We strive to ensure all staff have a fair opportunity to participate and success at work. If contacted for an employment opportunity, please advise your Talent Acquisition Specialist if you require accommodation.

AI Use Disclosure – Recruitment at Medcan

Medcan uses artificial intelligence (AI) tools to support the screening and assessment of candidates as part of a fair, transparent, and inclusive hiring process. These tools assist our Talent Acquisition team but do not make final hiring decisions. All decisions are reviewed and made by our hiring teams to ensure fairness and alignment with Medcan’s values. If you have questions about how your application is assessed, please contact Medcan’s Talent Acquisition team at recruitment@medcan.com.

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