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Principal AI/ML Platform Engineer (CA)

PointClickCare - Mississauga

Posted Jan 15, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
CAD 169K-188K From the posting source checked Jun 20, 2026

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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

U.S. benchmark only; posted salary is not compared across countries or currencies.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Principal From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Principal AI/ML Platform Engineer (CA) Mississauga The Team This team will serve as the product owner for GenAI capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support generative AI solutions. This centralized team with deep specialization, closely integrated with key horizontal partners to ensure delivery of safe, scalable and high-impact AI Products Job summary The Principal AI/ML Platform Engineer will focus on building the infrastructure that connects AI systems with existing products and will enable seamless delivery of AI-generated insights into agent workflows. Key responsibilities. - Design, build, and maintain the core infrastructure layer supporting GenAI products, including model gateways, prompt/versioning stores, vector databases, and LLM evaluation tools. - Implement secure access controls and authentication mechanisms integrated by default into the AI platform components. - Develop and manage observability, monitoring, and logging solutions for GenAI workloads and infrastructure. - Collaborate closely with product and engineering teams to integrate GenAI infrastructure with agent frameworks, and downstream applications. - Optimize infrastructure for scalability, high availability, cost efficiency for production workloads. Qualifications & Skills - Extensive experience building and maintain AI platform infrastructure, Kubernetes, and container security. - Demonstrated expertise in observability, and monitoring frameworks, with a focus on real-time performance (i.e: experience with OpenTelemetry, MLFlow). - Experience with AI infrastructure components such as vector databases, prompt/versioning stores, and AI IDEs. Preferred experience - Familiarity with vLLM, SGLang or similar framework to host LLM inference workloads. - Experience with CI/CD pipelines and automation for AI

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