AI Solution Engineer – Technology Support

PointClickCare

AI Solution Engineer implementing automation and intelligent workflows in healthcare SaaS solutions. Collaborating with teams to enhance operations and deliver impactful AI-driven results.

Posted 7/21/2026full-timeMississauga • 🇨🇦 CanadaMid-LevelSenior💰 CA$115,000 - CA$130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and supporting AI agents and intelligent workflows using Microsoft Azure tools, with a strong focus on automation, orchestration, and integration of AI-driven solutions. Proficient in programming languages such as Python, C#, and JavaScript/TypeScript, with hands-on experience in cloud engineering and deployment practices.

Highest-signal resume keywords

Microsoft Azure AIAI FoundryCopilot StudioPython ProgrammingAI Agent Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI-Powered WorkflowsAPI DevelopmentCloud EngineeringPrompt EngineeringCI/CD PipelinesData MigrationAutomationIntegration StandardsSoftware DevelopmentMulti-Agent Systems

Soft Skills

Problem-SolvingCollaborationEagerness to Learn

Tools & Technologies

Azure FunctionsLogic AppsCognitive ServicesGitVector Database Integration

Industry Keywords

SaaSEnterprise EnvironmentsHealthcare Data FormatsHL7FHIR

Tech Stack

Tools & technologies

AzureCloudJavaScriptPython

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & 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!