[All remote jobs](https://jobicy.com/jobs.md)[![PointClickCare logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/02/94d5c7bae5858d7e126022ed422c639c.jpeg)](https://jobicy.com/company/pointclickcare.md)[PointClickCare](https://jobicy.com/company/pointclickcare.md) # Ai Solution Engineer – (Technology Support) Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/pointclickcare.md)ShareRemote from[Canada](https://jobicy.com/job-region/canada.md)SalaryCAD 115k–130k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished14 Oct 2026Apply before13 Nov 2026Listing views32Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. PointClickCare is seeking an AI Solution Engineer to build and operate LLM-powered automation for internal corporate platforms in a healthcare SaaS environment. The role centers on Azure OpenAI, Azure AI Foundry, Copilot Studio, agent orchestration, APIs, and integrations with enterprise systems. The engineer will collaborate with implementation, product, integration, and support teams while evaluating, deploying, monitoring, and improving production AI workflows. Candidates need 3–5 years of software or cloud engineering experience, proficiency in Python, C#, or JavaScript/TypeScript, and familiarity with RAG, CI/CD, and responsible AI safeguards. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThis is a technically demanding engineering role because it combines cloud development, LLM agent orchestration, enterprise integration, and production AI quality and safety practices. The fast-changing AI platform landscape and cross-functional delivery expectations add meaningful complexity. ## Salary analysis Estimated compensation compared with the broader CA market for similar roles. Estimated job median (per year)Market rateC$122,500CA market range (per year)C$110k–C$140k0C$154k AI insightThe employer discloses a CAD 115,000–130,000 yearly base-salary range, with a midpoint of CAD 122,500 per year. This is broadly aligned with an estimated Canadian market range of CAD 110,000–140,000 yearly for an intermediate AI/cloud solutions engineer working with enterprise LLM platforms and Azure. ## Core skills Skills and capabilities most closely associated with this opportunity. [Azure OpenAI](https://jobicy.com/jobs?search_keywords=Azure%20OpenAI.md)[Azure AI Foundry](https://jobicy.com/jobs?search_keywords=Azure%20AI%20Foundry.md)[Copilot Studio](https://jobicy.com/jobs?search_keywords=Copilot%20Studio.md)[LLM orchestration](https://jobicy.com/jobs?search_keywords=LLM%20orchestration.md)[AI agents](https://jobicy.com/jobs?search_keywords=AI%20agents.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[C#](https://jobicy.com/jobs?search_keywords=C%23.md)[JavaScript](https://jobicy.com/jobs?search_keywords=JavaScript.md)[TypeScript](https://jobicy.com/jobs?search_keywords=TypeScript.md)[Retrieval-augmented generation](https://jobicy.com/jobs?search_keywords=Retrieval-augmented%20generation.md)[Vector databases](https://jobicy.com/jobs?search_keywords=Vector%20databases.md)[API development](https://jobicy.com/jobs?search_keywords=API%20development.md)[Model Context Protocol](https://jobicy.com/jobs?search_keywords=Model%20Context%20Protocol.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Healthcare interoperability](https://jobicy.com/jobs?search_keywords=Healthcare%20interoperability.md) Sample interview questionsHow would you design an AI agent that automates an internal onboarding workflow while maintaining appropriate safeguards?I would first map the workflow, systems of record, decision points, and data sensitivity. I would use a constrained tool-based agent design with authenticated APIs, least-privilege access, deterministic validation steps, human approval for high-impact actions, and comprehensive audit logging. I would then define evaluation cases and monitoring for task completion, tool errors, hallucinations, and policy violations. Describe how you would implement retrieval-augmented generation for enterprise knowledge. I would ingest approved source content, clean and chunk it appropriately, generate embeddings, and store them with metadata and access controls in a vector database. At query time, I would retrieve relevant authorized content, pass cited context to the LLM, and require the model to abstain or escalate when evidence is insufficient. I would measure retrieval relevance, groundedness, answer quality, latency, and feedback trends. What factors would guide your choice between Azure OpenAI, Copilot Studio, and custom Azure Functions for a solution? I would consider the use case complexity, required integrations, governance needs, customization level, operating cost, and speed to delivery. Copilot Studio is useful for governed conversational and workflow experiences, while Azure OpenAI and custom functions offer more control for specialized orchestration and APIs. I would choose a composable architecture when reusable services or complex enterprise integrations are needed. How would you evaluate the quality of a production LLM workflow? I would establish representative test sets that include routine, edge-case, and adversarial prompts, with clear success criteria. Evaluation would combine automated measures such as groundedness, tool-call accuracy, and latency with human review for usefulness, safety, and business correctness. After release, I would monitor production outcomes, user feedback, failure patterns, and model or prompt regressions. How would you integrate an LLM agent with an existing enterprise platform using the Model Context Protocol? I would expose narrowly scoped, well-documented MCP tools backed by secure enterprise APIs and enforce authentication, authorization, input validation, and rate limits at the tool boundary. The agent would receive only the tools and data necessary for its task, with structured outputs and idempotent actions where possible. I would log tool requests and outcomes, test failure and permission scenarios, and provide human escalation for exceptions. Opportunity details ## About this role. 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](https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpointclickcare.com%2Flife-at-pointclickcare%2F&data=05%7C02%7CSandeep.Dhillon%40pointclickcare.com%7Ce9353db140a24fd980f808ddb00013f1%7Cafd0249eca3d42058bf4ac2b6abd0fec%7C0%7C0%7C638860236586947941%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=dIKtrMG7L0sb%2FfLrFRvhcZAmfqfNXTXDTvMsoJkwGvM%3D&reserved=0) and connect with us on [Glassdoor](https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.glassdoor.ca%2FOverview%2FWorking-at-PointClickCare-EI_IE452666.11%2C25.htm&data=05%7C02%7CSandeep.Dhillon%40pointclickcare.com%7Ce9353db140a24fd980f808ddb00013f1%7Cafd0249eca3d42058bf4ac2b6abd0fec%7C0%7C0%7C638860236586978442%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=KVgSiL%2ByFmnpxTc5PmuErMwRNwDmTGqUzJIUSIm5fY0%3D&reserved=0)and [LinkedIn](https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fpointclickcare%2F&data=05%7C02%7CSandeep.Dhillon%40pointclickcare.com%7Ce9353db140a24fd980f808ddb00013f1%7Cafd0249eca3d42058bf4ac2b6abd0fec%7C0%7C0%7C638860236586994867%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=AFNWMltUX65iQ5E5LFYOrA9bKP10SzKQ7jwcti57q2E%3D&reserved=0). **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. About the team: This team provides solutions that streamline internal processes, improve implementations and deliver scalable, autonomous services across our employee facing corporate platforms. We work closely with senior leadership, solution architects, and product teams to bring LLM-driven agents and intelligent workflows into production across a dynamic healthcare SaaS environment. Job Summary: This role exists to bring AI-powered automation into real-world use across our corporate platform. This role exists to bring AI-powered automation into real-world use across our corporate platform. It focuses on building intelligent workflows with leading enterprise AI platforms (primarily Microsoft Azure, alongside model providers such as Anthropic Claude and OpenAI) to streamline operations and enhance delivery. The position connects IT 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, 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. Your Key Strengths: •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/[T](http://TypeScript.Prior)ype 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. ### Compensation At PointClickCare, base salary is one of the many components that make up our total rewards package. The CA base salary range for this position is $115,000 – $130,000 Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CA locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process. ### Additional Information Tech-D/P3 #LI-MG1 #LI-Remote PointClickCare Benefits & Perks: Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more! It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment. When you apply for a position, your information is processed and stored with Lever, in accordance with [Lever’s Privacy Policy](https://www.lever.co/privacy-policy). We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: [recruitment@pointclickcare.com](mailto:recruitment@pointclickcare.com) PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. 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