AI Technical Specialist

Posted 6 Days Ago
Be an Early Applicant
Toronto, ON, CAN
In-Office
83K-113K Annually
Mid level
Fitness • Healthtech • Professional Services • Telehealth
The Role
Design, implement, and optimize AI solutions (including Generative and agentic AI and LLMs). Build prototypes and deploy production systems, monitor model performance, support governance/security, and drive stakeholder adoption with documentation and training.
Summary Generated by Built In

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 is for a current vacancy.



Role Overview
 

Medcan is seeking an AI Technical Specialist to support the design, development, implementation, and ongoing optimization of AI solutions across the organization. This role combines technical expertise with business understanding to help deliver secure, scalable, and responsible AI solutions that improve client experience, clinical operations, and business efficiency.

What You’ll Do
 

AI Solution Development & Delivery

· Support the design, configuration, and implementation of AI solutions, including Generative AI, machine learning, automation, and conversational AI use cases

· Collaborate with stakeholders to understand business and clinical requirements and translate them into technical solutions

· Develop prototypes, proof-of-concepts, and pilot solutions to validate business value

· Work with implementation teams to deploy solutions into production environments

AI Operations & Monitoring

· Monitor AI solutions to ensure reliability, performance, and user adoption

· Track system performance, model effectiveness, and operational metrics

· Identify opportunities for optimization and continuous improvement

· Support testing, validation, and release management activities

Governance, Security & Responsible AI

· Ensure AI solutions comply with Medcan's privacy, security, and Responsible AI requirements

· Support AI risk assessments, documentation, and governance reviews

Stakeholder Support & Adoption

· Provide technical guidance and support to business and clinical teams

· Assist with change management and user adoption activities

· Communicate solution capabilities, limitations, and risks to non-technical audiences

What You’ll Need
 

· 2 - 5 years of experience in technology, data, AI, analytics, or software development roles

· Experience implementing or supporting AI, machine learning, Generative AI, or Agentic AI solutions

· Experience working with APIs, enterprise applications, and system integrations.

· Ability to collaborate effectively with cross-functional teams, including ML Engineers, Data Solutions Leads, and Integration Engineers.

Technical Skills – Must Have

· Understanding of agentic AI, machine learning, Generative AI, and large language models (LLMs)

· Familiarity with Azure AI Services, Azure OpenAI, Microsoft Copilot, or similar AI platforms

· Experience with Python, SQL, REST APIs, and data integration concepts and data processing tools (Pandas, SQL, Spark)

· Develop documentation, training materials, and technical knowledge resources

· Familiarity with MLOps, model monitoring, and AI lifecycle management concepts
 

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 – Friday (9 AM - 5.30 PM). Our downtown Toronto location is conveniently located at 150 York St., which is near St. Andrew station or a 10-minute walk from Union Station!

Position Pay Range

$82,543.00 - $113,495.50 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. 


Notice to Candidates: Recruitment Fraud 

Please note that Medcan will never request any form of payment from candidates at any stage of the recruitment or hiring process. In addition, Medcan does not utilize third-party immigration consultants or recruitment agents to conduct offers of employment on our behalf. Employment contracts are shared directly by members of the Medcan Talent Acquisition or Human Resources team using official Medcan email domains.

If you receive a request for payment or are contacted by an individual or organization claiming to represent Medcan that appears suspicious, please do not respond or share personal information. Instead, we encourage you to contact us directly at [email protected] to verify the legitimacy of the communication.


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 Medcan’s values. If you have questions about how your application is assessed, please contact the Medcan Talent Acquisition team at [email protected].

Skills Required

  • 2 - 5 years of experience in technology, data, AI, analytics, or software development roles
  • Experience implementing or supporting AI, machine learning, Generative AI, or Agentic AI solutions
  • Experience working with APIs, enterprise applications, and system integrations
  • Ability to collaborate effectively with cross-functional teams (ML Engineers, Data Solutions Leads, Integration Engineers)
  • Understanding of agentic AI, machine learning, Generative AI, and large language models (LLMs)
  • Familiarity with Azure AI Services, Azure OpenAI, Microsoft Copilot, or similar AI platforms
  • Experience with Python
  • Experience with SQL
  • Experience with REST APIs and data integration concepts
  • Experience with data processing tools such as Pandas and Spark
  • Familiarity with MLOps, model monitoring, and AI lifecycle management concepts
  • Ability to develop documentation, training materials, and technical knowledge resources
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The Company
646 Employees
Year Founded: 1987

What We Do

Medcan is a global leader in proactive health and wellness services, providing care for individuals, families, and employers grounded in the latest evidence-based practices, technologies, and treatments. Their team of medical experts delivers transformational specialty and primary care through a comprehensive ecosystem of services, including their flagship Annual Health Assessment, to help clients proactively manage their health and well-being and inspire them to live well.

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