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.
This team provides solutions that streamline internal processes, improve customer implementations, and deliver scalable, autonomous services across our healthcare platform. We work closely with senior engineers, solution architects, and product teams to bring LLM-driven agents and intelligent workflows into production across a dynamic healthcare SaaS environment.
This role exists to bring AI-powered automation into real-world use across its healthcare platform. It focuses on building intelligent workflows with Microsoft Azure tools to streamline operations and enhance customer delivery. The position connects engineering and operations with AI innovation to deliver measurable impact in a rapidly evolving environment.
Key Responsibilities:
- Build and support AI agents and intelligent workflows using Microsoft Azure tools such as Azure OpenAI, AI Foundry, Semantic Kernel, 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 with existing enterprise systems.
- Support testing, deployment, monitoring, and continuous improvement of AI workflows in production.
- Stay current with Microsoft’s AI platform roadmap and emerging industry trends.
- Contribute to the evolution of our internal AI delivery model and promote AI best practices across teams
Qualifications & Skills:
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
- 2–5 years of experience in software or cloud engineering.
- Hands-on experience with Microsoft Azure services (Azure AI, Azure Functions, Logic Apps, Cognitive Services).
- Experience working with LLMs (OpenAI GPT, Azure OpenAI), prompt engineering, and AI-driven automation.
- Proficient in Python, C#, or JavaScript/TypeScript.
- Familiar with CI/CD pipelines, Git, and cloud deployment practices.
- Strong problem-solving skills and eagerness to learn in a fast-moving environment.
Bonus SKills:
- Experience building AI-powered workflows using Semantic Kernel, AI Foundry, or Copilot Studio.
- Exposure to AI agent orchestration or multi-agent systems
- Familiarity with retrieval-augmented generation (RAG) or vector database integration.
- Understanding of healthcare data formats (HL7, FHIR) is a strong plus.
- Prior experience working in SaaS or enterprise environments.