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AI Automation Engineer

WELL Health Technologies Corp

Toronto

Remote

CAD 150,000 - 200,000

Full time

2 days ago
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Job summary

WELL Health Technologies is seeking an AI Automation Engineer to enhance its automation initiatives through workflow design and cloud-based data engineering. This full-time remote role involves collaborating with various internal teams to develop automated solutions that streamline operations across different business functions. Ideal candidates will have significant experience in automation, strong programming skills, and familiarity with AI tools.

Qualifications

  • 3-5+ years in automation or data engineering.
  • Hands-on experience with OpenAI and automation tools.
  • Familiar with Azure and AWS services.

Responsibilities

  • Design and maintain automated workflows using AI orchestration engines.
  • Integrate AI services into automation flows and data processes.
  • Collaborate with internal teams to deliver functional solutions.

Skills

Automation
Data Engineering
API Integration
Python
JavaScript
OpenAI LLMs
REST/JSON

Tools

n8n
UiPath
Microsoft Power Automate
Snowflake

Job description

Entity: WELL Health Technologies Corp.

Position Title:AI Automation Engineer

Job Class: Full time

Work Location: Remote, Canada

Salary Range: $150k - $200k CAD per annum

About the Company:

WELL’s mission is to tech-enable healthcare providers. We do this by developing the best technologies, services, and support available, which ensures healthcare providers are empowered to positively impact patient outcomes. WELL’s comprehensive healthcare and digital platform includes extensive front and back-office management software applications that help physicians run and secure their practices. WELL’s solutions enable more than 42,000 healthcare providers between the US and Canada and power the largest owned and operated healthcare ecosystem in Canada with more than 220 clinics supporting primary care, specialized care, and diagnostic services. In the United States WELL’s solutions are focused on specialized markets such as the gastrointestinal market, women’s health, primary care, and mental health. WELL, is publicly traded on the Toronto Stock Exchange under the symbol “WELL” and on the OTC Exchange under the symbol “WHTCF”. To learn more about the Company, please visit:www.well.company.

Position Summary:

As an AI Automation Engineer within the AI Center of Excellence (CoE), this role combines hands-on workflow automation with cloud-based data engineering, working as the technical backbone of our automation initiatives. Working in collaboration with AI Business Automation Analysts, Data Engineer, and Cloud Engineers, the role is responsible for the design and build of agentic workflows using AI orchestration tools and services (n8n, OpenAI, MCP Servers, Microsoft Azure / AWS AI tools, etc), while also leveraging data pipelines that power AI-enabled business solutions. You will work cross-functionally to deliver the requirements of HR, Finance, Legal, and subsidiary business functions to streamline operations and unlock insights through data, automation, and AI.

What you will be doing:

The scope of this role includes, but is not limited to:

  • Design, develop, deploy, and maintain automated workflows using AI Orchestration engines or greenfield AI solutions developed in-house.
  • Integrate AI services (e.g., Azure OpenAI, cognitive services, ML models) into automation flows and data processes.
  • Create scalable connectors and reusable integrations for APIs, databases, and SaaS platforms, leveraging secure MCP server integrations, where appropriate.
  • Leverage data pipelines using tools such as Azure Data Factory, Databricks, Snowflake, and Fivetran.
  • Collaborate with Business Analysts, Cloud Engineers, and Business Stakeholders to turn business requirements into working solutions.
  • Ensure all solutions comply with security, privacy, and cloud architecture standards.
  • Support testing, debugging, documentation, and knowledge transfer to internal teams.
  • The position is expected to analyse complex problems and develop solutions that are aligned with best practice and compliant with industry standards.

You have:

  • 3–5+ years of experience in automation, integration, or data engineering roles.
  • Hands-on experience with OpenAI LLMs, ChatGPT, n8n, and RPA solutions such as UiPath or Microsoft Power Automate (preferred).
  • Experience working with Snowflake or similar cloud data warehouses / datalakes.
  • Strong understanding of API integration, webhooks, REST/JSON, and data transformation.
  • Working knowledge of Python, Javascript, Docker, CI/CD, JSON, PostgreSQL, and MySQL.
  • Familiarity with AI and ML services, particularly those available in Azure and AWS
  • Experience deploying and maintaining solutions in a secure Azure cloud environment
  • Version control systems such as GitHub.
  • Ability to work across business and technical teams in an agile, collaborative manner.

The salary offered for this position falls within a specified salary range and will be determined based on a variety of factors, including but not limited to the candidate's experience, qualifications, skills, and the specific needs of the organization. At WELL, we believe in fair and equitable compensation, and our goal is to offer a competitive salary that reflects the value and expertise of the selected candidate.

WELL, is committed to supporting 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 perspective. We strive to create an inclusive workplace where differences are celebrated and fuel our success – this is the WELL Way!

WELL has been independently certified as a Great Place to Work by Great Place to Work Institute Canada, an achievement that reflects the company’s strong commitment to creating a workplace culture centered on trust, inclusivity, and employee well-being, aligning with its ‘Healthy Place to Work’ ESG strategy pillar.

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

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