Ai Solution Engineer - (Technology Support)

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.

Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.

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.

•Build and support AI agents and intelligent workflows using Microsoft Azure tools such as Azure OpenAI, AI Foundry, and Copilot Studio.

•Design and implement AI-powered orchestration and automation for use cases such as configuration streamlining, onboarding automation, and data migration.

•Collaborate with cross-functional teams (integration, implementation, product, support) to deliver high-quality, scalable AI-driven solutions.

•Develop APIs, scripts, and tools to connect LLM-based agents — using open integration standards such as the Model Context    Protocol (MCP) — with existing enterprise systems.

•Support testing, evaluation, deployment, monitoring, and continuous improvement of AI workflows in production, including output-quality evaluation, guardrails, and responsible-AI safeguards.

•Stay current with the AI platform roadmaps of major providers (Microsoft, Anthropic, OpenAI, Google) and emerging industry trends.

•Contribute to the evolution of our internal AI delivery model and promote AI best practices across teams.

•Bachelor’s degree in computer science, Engineering, Information Systems, or equivalent practical experience.

•Experience building AI-powered workflows using Azure AI Foundry, Copilot Studio and/or Now Assist.

•3–5 years of experience in software or cloud engineering

•Exposure to AI agent orchestration or multi-agent systems

•Hands-on experience with Microsoft Azure services (Azure AI, Azure Functions, Logic Apps, Cognitive Services)

•Familiarity with retrieval-augmented generation (RAG) or vector database integration.

•Experience working with multiple LLMs (OpenAI GPT, Azure OpenAI, Gemini), prompt engineering, and AI-driven automation.

•Proficient in Python, C#, or JavaScript/Type Script

•3-5 years' experience working in SaaS or enterprise environments.

•Familiar with CI/CD pipelines, Git, and cloud deployment practices.

•Understanding of healthcare data formats (HL7, FHIR) is a strong plus.

•Strong problem-solving skills and eagerness to learn in a fast-moving environment.