AI Engineer: Azure Foundry & Enterprise Data in Edmonton

AI Engineer: Azure Foundry & Enterprise Data in Edmonton

Edmonton Full-Time 121500 - 148500 $ / year (est.) On-site
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At a Glance

  • Tasks: Design AI agents and solve real business problems using Azure AI Foundry.
  • Company: Join AutoCanada, a leader in innovative technology solutions.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative team environment with a focus on innovation and efficiency.
  • Why this job: Be at the forefront of AI tech and make a tangible impact on decision-making.
  • Qualifications: Experience with AI technologies and strong problem-solving skills.

The predicted salary is between 121500 - 148500 $ per year.

Auto Canada is seeking an AI Engineer to join the Information Management team.

You will translate business problems into agent specifications and design AI agents using Azure AI Foundry, integrating with enterprise tools and data sources.

You will work across Microsoft Fabric environments to drive practical AI solutions that improve decision‑making and operational efficiency.

You will collaborate with business leaders, ensure governance and security, and stay at the forefront of AI technologies

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AI Engineer: Azure Foundry & Enterprise Data in Edmonton employer: Kelleher Ford

AutoCanada is an exceptional employer, offering a dynamic work environment at our Edmonton head office, where innovation and collaboration thrive. As a recognized leader in the collision repair industry, we provide our employees with ample growth opportunities, competitive salaries, and a commitment to diversity and inclusion. Join our enthusiastic team and be part of a company that values your contributions while supporting your professional development in a fast-paced, multi-site setting.

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Contact Details:

Kelleher Ford Recruitment Team

We think you need these skills to ace AI Engineer: Azure Foundry & Enterprise Data in Edmonton

AI Agent Design
Azure AI Foundry
Integration with Enterprise Tools
Data Source Integration
Microsoft Fabric
Decision-Making Improvement
Operational Efficiency