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!

Role Summary:

Join Our Team as a highly skilled Implementation Engineer 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 Youll 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 Medcans 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 Youll Need:

• Education: Bachelors degree in Computer Science Information Technology Engineering or a related field (Masters 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

Pay will be determined based on an analysis of the selected candidates experience and qualifications within the roles compensation grade. Medcans 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 equity diversity and inclusion. We strive to ensure all stakeholders have a fair opportunity to participate in our community. If contacted for an opportunity please advise your Talent Acquisition contact should you require accommodation.

AI Use Disclosure Opportunities at Medcan

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