Enterprise AI Engineer — Data & Automation

AutoCanada

Edmonton

On-site

CAD 110,000 - 140,000

Full time

19 hours ago
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Benefits offered by this job

Competitive Compensation and Benefits
Employee Vehicle Purchase & Service
Employee and Family Assistance
Company-wide appreciation events
Professional development opportunities

Job summary

AutoCanada is hiring an AI Engineer for its Information Management team at the Edmonton, AB home office. You will translate business problems into agent specs, design AI agents with Azure AI Foundry, and integrate them with enterprise tools, data sources, and APIs.

The role emphasizes production deployment, monitoring, and ongoing optimization of AI agents. You will collaborate with business leaders to shape AI strategy, build practical AI solutions, and accelerate data-driven decision making

Qualifications

  • 2–5+ years of experience in software/AI engineering or related technical roles.
  • Hands-on experience with Azure AI Foundry, agents, and tool integration.
  • Experience building CI/CD pipelines and artifacts compatible with CI/CD processes.

Responsibilities

  • Translate business problems into agent specifications and success criteria.
  • Design and build AI agents using Azure AI Foundry and Microsoft technologies.
  • Integrate agents with enterprise tools, data sources, and APIs.
  • Develop, maintain, and optimize agent instructions, prompts, and workflows.
  • Deploy, monitor, and support agents in production environments.

Skills

Python
SQL
Azure AI Foundry
Microsoft Fabric
CI/CD
Git
Azure DevOps
Data Modeling

Education

Post-secondary degree in Computer Science, Engineering, Data Science, Information Systems, or related field

Tools

Azure AI Foundry
Microsoft Fabric
Git
Azure DevOps
SQL

Job description

AutoCanada is hiring an AI Engineer for its Information Management team at the Edmonton, AB home office. You will translate business problems into agent specs, design AI agents with Azure AI Foundry, and integrate them with enterprise tools, data sources, and APIs.

The role emphasizes production deployment, monitoring, and ongoing optimization of AI agents. You will collaborate with business leaders to shape AI strategy, build practical AI solutions, and accelerate data-driven decision making

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