Applied AI Engineer

WELL Health Technologies is an innovative technology-enabled healthcare company whose overarching objective is to positively impact health outcomes by leveraging technology to empower and support healthcare practitioners and their patients.

WELL has built an innovative practitioner enablement platform that includes comprehensive end to end practice management tools inclusive of virtual care and digital patient engagement capabilities as well as Electronic Medical Records (EMR), Revenue Cycle Management (RCM) and data protection services. WELL Health Technologies, uses this platform to power healthcare practitioners both inside and outside of WELL Health Technologies’ own omni-channel patient services offerings. 

WELL owns and operates Canada's largest network of outpatient medical clinics serving primary and specialized healthcare services and is the provider of a leading multi-national multi-disciplinary telehealth offering. WELL Health Technologies is publicly traded on the Toronto Stock Exchange under the symbol "WELL". 

To learn more about the company, please visit: www.well.company.

The opportunity

Reporting to the Senior Director, Digital Transformation, we are hiring an Applied AI Engineer to design, build, deploy, and optimize AI-powered applications and solutions that create measurable business value across the organization. As part of ThinkWELL, WELL’s enterprise intelligence, analytics and automation platform, you will focus on delivering AI agents, assistants, and workflow automations using Microsoft Copilot Studio and Power Platform, connected to governed enterprise data through Microsoft Fabric and other approved systems. You will configure and extend platform capabilities, develop integrations, prepare business context and instructions, test solution quality, and support deployment and adoption. Using established platform capabilities alongside code and integrations where needed, you will apply engineering judgment to deliver practical, reliable solutions within WELL’s enterprise architecture.

This is a fully remote role based anywhere in Canada, with a preference for candidates located in Toronto or Vancouver.

Who you are

You are an engineer or technical solution builder who has taken AI-enabled solutions into production. You enjoy working directly with business users to understand their needs, clarify assumptions, navigate technical trade-offs, and turn business challenges into practical solutions. You combine platform configuration with coding and integrations to build reliable applications, and you stay involved throughout deployment, adoption, and ongoing improvement.

You bring technical curiosity and sound judgment to your work. You ask thoughtful questions, challenge assumptions, and work collaboratively with business and technology teams to determine the best approach for each use case.

You are comfortable working through ambiguity and evolving requirements. You know how to use established platform capabilities where they fit, add code where needed, and balance innovation with reliability, security, scalability, and maintainability. You understand that successful AI solutions require more than good prompts: they depend on reliable data access, testing, appropriate controls, monitoring, and continuous improvement.

What's in it for you

Production ownership and impact. You will work alongside AI, data, and technology leaders to bring ThinkWELL solutions into everyday use across WELL. You will own work that reaches production, contribute to business outcomes, and see how the solutions you build help teams improve their workflows and work more effectively.

Build within an evolving enterprise AI platform. You will contribute to WELL’s enterprise intelligence, analytics and automation capabilities, working with Microsoft’s data and AI ecosystem to connect AI applications with governed enterprise data and approved systems. You will help turn prioritized business use cases into practical solutions that can be deployed, adopted, and improved over time.

Learning and growth. You will develop your skills as the platform and team grow, gaining hands-on experience in AI application delivery, enterprise integrations, solution evaluation, and production support. Working across business, data, technology, architecture, and security partners, you will broaden your understanding of how AI solutions are built and maintained within an enterprise environment.

As our new Applied AI Engineer, you will:

• Build AI solutions. You will configure and extend Microsoft Copilot Studio agents, assistants, and Power Platform workflows around agreed business needs. You will add code and integrations where required, using platform capabilities to deliver practical solutions that address real business challenges.
• Connect data and systems. You will connect governed Microsoft Fabric data and approved enterprise systems through APIs and connectors. Partnering with Data Engineering and Technology teams, you will support data readiness, authentication, permissions, and reliable access to the information AI solutions need.
• Evaluate and improve AI performance. You will test solution accuracy, task completion, and failure handling, then monitor reliability, performance, usage, and cost once solutions are deployed. Working with architecture and security colleagues, you will apply approved security controls, guardrails, and deployment practices while using feedback and operational results to guide improvements.
• Drive adoption. You will work directly with business users to demonstrate functionality, incorporate feedback, and support adoption after launch. You will help troubleshoot issues and improve solutions over time so they remain useful, reliable, and aligned with business needs.

Here's what you bring:

• The technical foundation. You have experience in solution engineering, data engineering, automation, or related technical roles, including deploying and supporting production solutions. You bring strong programming skills in Python or another programming language to build integrations and extend platform capabilities. You also have experience with APIs, authentication, databases, and enterprise systems.
• The applied AI expertise. You have hands-on experience building and deploying AI agents or assistants using Microsoft Copilot Studio, with production examples that demonstrate your capabilities. You understand concepts such as grounding, retrieval, tool calling, and workflow orchestration, and can apply them to build useful, reliable solutions.
• The delivery mindset. You take ownership from development through production and ongoing support. You can work through ambiguity and dependencies, make practical technical decisions, and balance business needs with the reliability and maintainability required for enterprise solutions.
• The stakeholder partnership. You communicate clearly with business and technical colleagues, helping clarify requirements, agree on priorities, and translate feedback into improvements. You work collaboratively across teams to keep solutions aligned with business needs and technical requirements.
• The curiosity and continuous learning. You are interested in emerging AI capabilities and can assess their practical value, scalability, and maintainability. You enjoy learning new tools and approaches and applying them thoughtfully to solve business problems.

Preferred qualifications

Experience with Power Automate, Microsoft Fabric, Azure AI services, Microsoft Entra ID, or Logic Apps is an asset. Experience with other AI platforms, agent frameworks, AI coding tools, enterprise search, monitoring, or evaluation practices is also valuable. Experience working in healthcare or other regulated, privacy-sensitive environments is useful.

Why join us?

Healthcare is our sector, and we know that for WELL to be a winning team, we must provide an open environment to prioritize health and wellbeing and multiple resources to discuss mental, physical, and psychological needs openly. From the CEO to the newest hire, everyone comes together as part of our culture of respect, openness, support, and communication. We unite to empower each other to be the best we can be.

We recognize that the best way to serve our diverse patient communities is by reflecting that diversity. With almost 65% of our team members identifying as female and 70% of our leadership identifying as a visible minority, we are proud of our diverse, equitable and inclusive organization.

Apply now

Interested in applying but worried you don't have it all? At WELL, we know not everyone gains their experience following a traditional path. If you share our values, want to make a difference in healthcare technology solutions, and meet 70% of the qualifications, we encourage you to apply. Express your interest here.

What you can expect from our interview process:

• A virtual interview with a Talent Advisor discussing your interest in the role and your experience.
• A 45-minute virtual technical interview with a Senior AI Engineer to discuss your technical experience, AI solution delivery, and approach to building enterprise-ready applications.
• A final virtual interview with the Senior Director, Digital Transformation and VP, Business Transformation to discuss business impact, collaboration, and alignment with WELL's vision for AI.

Compensation

The salary range for this position is $150K- 170K.  The salary will be determined based on several factors, including the candidate’s experience, qualifications, skills, and the needs of the organization. At WELL, we are committed to fair and equitable compensation and aim to provide a competitive salary that reflects the value and expertise of the successful candidate.

WELL is committed to fostering a diverse, inclusive, and accessible workplace. We welcome and celebrate the diversity of applicants and team members across ability, race, gender identity, sexual orientation, and lived experience. We strive to create an environment where differences are valued and contribute to our collective success – this is the WELL Way.

WELL has been independently certified as a Great Place to Work® by the Great Place to Work Institute® Canada. This recognition reflects our commitment to building a workplace culture rooted in trust, inclusivity, and employee well-being. It also aligns with our Healthy Place to Work pillar and the priorities outlined in our annual Sustainability Impact Report.

Read more about us: https://stories.well.company/ 

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