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Principal AI Engineer
ICT
Company shared salary
NA
Market rate
10,000 CAD–15,833 CAD/mo (120,000 CAD–189,996 CAD/yr)
Based on similar roles (title + domain + location).
About the Company
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that's founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada's Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work. At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey
Responsibilities
- ● Design and document enterprise AI platform architectures including reference implementations for agentic systems, RAG pipelines, and multi-modal AI applications with integrated guardrails, observability, and security patterns
- ● Define and maintain architectural standards, design patterns, and best practices for GenAI infrastructure including model serving, prompt management, vector storage, evaluation frameworks, and LLMOps pipelines.
- ● Lead technical evaluations and vendor assessments for AI infrastructure components (model gateways, vector databases, observability tools) and provide architectural recommendations aligned with organizational requirements.
- ● Collaborate with product, engineering, and platform teams to translate business requirements into scalable AI architectural solutions, ensuring consistency across multiple product implementations.
- ● Establish architectural governance for AI/ML workloads including security controls, compliance frameworks, cost optimization strategies, and multi-cloud deployment patterns (Azure, AWS).
Requirements
- ● Familiarity with observability frameworks for AI systems (OpenTelemetry, MLFlow, Arize, LangSmith) and production monitoring strategies
- ● Understanding of healthcare compliance requirements (HIPAA, PHIPA) and security frameworks for AI applications
- ● Minimum Qualifications:
- ● + years of experience in cloud architecture and platform engineering with AWS and/or Azure, with at least 3+ years focused on AI/ML infrastructure and GenAI solutions
- ● Proven track record designing and implementing enterprise-scale AI/ML platforms supporting multiple product teams and use cases
- ● Deep expertise in cloud-native architectures including microservices, event-driven systems, serverless patterns, and container orchestration (Kubernetes)
- ● Strong understanding of GenAI architectural patterns including RAG, agentic frameworks (LangGraph, CrewAI), prompt engineering, and LLM evaluation methodologies
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