Principal AI Engineer

At Point Click Care  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 Point Click Care , 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.

Join us in redefining healthcare — so it doesn’t just survive, it thrives.

To learn more about Point Click Care , check out Life at Point Click Care  and connect with us on Glassdoor and Linked In.

** Travel to Office expectations*
* For Remote Roles
If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.

For Hybrid Roles
If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.

Team

Summary:

The Agentic Platform team operates at the leading edge of AI technology. We continuously evaluate emerging services, frameworks, and capabilities — identifying which ones Point Click Care  should adopt to unlock AI-powered products that serve our customers across senior care and beyond. The team owns the agentic platform end to end. We identify and build scalable platform capabilities and codify playbooks and patterns that accelerate implementation across the organization.

Through close collaboration with product, engineering, and operations teams, we transform promising prototypes into production-ready solutions. We also invest deeply in talent development, equipping teams across Point Click Care  with the skills and tools to embed AI into Point Click Care ’s products.

Job Summary:

The Principal AI Engineer will design and architect scalable, secure, and enterprise-grade AI/ML platforms and solutions that enable product teams to rapidly build and deploy AI applications. Working at the intersection of product strategy and technical implementation, the Principal AI Engineer will define architectural patterns, establish technical standards, and guide engineering teams in building cloud-native AI infrastructure that aligns with organizational goals.

The Principal AI Engineer will create reference architectures, evaluate emerging AI technologies, and ensure alignment between AI platform capabilities and product roadmap requirements.

Key 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,…