AI Engineer

Join the ride!

Position: AI Engineer

Location:

Auto Canada Home Office, Edmonton, AB

Classification:
Full Time, Immediate Hire

Auto Canada is the largest Canadian owned and publicly traded automotive dealer group operating in Canada and the US. We are innovative, data-driven and our commitment to our Team Members, customers and operational excellence fuels our success.

Our dealership Team Members are at the heart of our success, building long-lasting, trust-based relationships with customers across Canada. Our national network provides opportunities and support to build the career that’s right for you. Working here is fast-paced, non-stop, and a little unpredictable- we love it.

As an AI Engineer , you will be part of the Information Management team  will join a highly collaborative and effective team where your input will be valued, and your work will make a measurable impact. You thrive in ambiguity, enjoy solving complex problems, and are passionate about applying AI to create meaningful business outcomes.

This role sits at the intersection of business, data, and technology. If you are curious about emerging technology, enjoy building practical AI solutions, and want to help transform how Auto Canada operates, you will love this job.

We have an enthusiastic and highly effective team with no end to challenging and interesting work in sight. The company is growing, and the mindset is expansionary, with significant opportunities to create value through AI Agents and services.

This is a highly visible role that offers the opportunity to work closely with business leaders, modern Microsoft technologies, and enterprise-scale data assets. You will help shape Auto Canada's AI strategy while delivering practical solutions that improve decision-making, reduce effort, and accelerate business performance.

• Translate ambiguous business problems into well-defined agent specifications, including objectives, tools, data sources, workflows, outputs, and success criteria.
• Design and build AI agents using Azure AI Foundry and related Microsoft AI technologies.
• Integrate agents with enterprise tools including Microsoft Foundry Data Agents , file and vector search systems, APIs, external apps, and MCP servers.
• Develop, maintain, and optimize agent instructions, prompts, workflows, and tool integrations.
• Evaluate agent quality through structured testing, benchmarking, and validation methodologies.
• Deploy, version, monitor, and support agents in production environments.
• Work directly with Microsoft Fabric environments including warehouses, Lakehouse, SQL endpoints, semantic models, and ontologies.
• Evaluate and recommend retrieval strategies, balance accuracy, performance, maintainability, and cost optimization.
• Implement governance and security controls including least-privilege access models, service principals, RBAC, and secure authentication methods.
• Partner with infrastructure, security, and compliance teams to ensure agents meet organizational standards.
• Understanding of data modelling and exposure to ETL/ELT development in Fabric or Databricks
• Comfortable implementing pro-code agentic solutions and acting as a subject matter expert for Agentic AI solutions within the Information Management team.

• Related post-secondary education in Computer Science, Engineering, Data Science, Information Systems, or related discipline.
• 2–5+ years of experience in software engineering, analytics engineering, data engineering, AI engineering, or related technical roles.
• Hands-on experience with Azure AI Foundry , including agents, tool integration, orchestration, and AI application development or similar platforms.
• Experience building CI/CD pipelines and implementing artifacts compatible with CI/CD processes along with Git and Azure Devops.
• Hands-on experience with Microsoft Fabric, including Data Agents, Warehouses, Lake houses, SQL Endpoints, Semantic Models, and enterprise data access patterns.
• Strong proficiency in Python and SQL .
• Knowledge of Azure Identity and Security , including Entra , Service Principals, RBAC, Key Vault, and token-based authentication.
• S…