Business Systems Engineer - AI

We are seeking an AI Engineer to design and build enterprise AI solutions that enable AI agents to access, understand, and reason over trusted organizational knowledge. This role will focus on developing the knowledge and context layer for agentic AI, transforming structured and unstructured enterprise information into reusable, governed, and semantically meaningful context for AI agents.

The engineer will work across AI, architecture, data, and business teams to build an Application Knowledge Hub that captures application capabilities, requirements, processes, integrations, dependencies, architecture, and operational knowledge and makes this information consumable by AI agents.

What you'll do:

Knowledge Hub & Context Engineering

• Design and implement an enterprise Knowledge Hub supporting AI agents and agentic workflows.
• Build ingestion pipelines for content from platforms such as Confluence, Jira, SharePoint, ServiceNow, APIs, databases, and application metadata repositories.
• Convert documents, requirements, architecture artifacts, process flows, and application metadata into structured, searchable AI context.
• Design metadata models, taxonomies, entity relationships, knowledge graphs, and semantic representations.
• Establish strategies for chunking, embeddings, indexing, retrieval, context enrichment, and content freshness.
  

AI Agents & RAG

• Build Retrieval-Augmented Generation (RAG) solutions for enterprise AI use cases.
• Develop agent grounding and context-retrieval services that provide the right information to an agent at runtime.
• Implement hybrid retrieval combining semantic/vector search, keyword search, metadata filtering, and relationship-based retrieval.
• Design multi-agent workflows where agents can retrieve and reason across application, business, architecture, and operational knowledge.
• Develop mechanisms for citations, source traceability, confidence, and hallucination reduction.
  

AI & Data Engineering

• Build reusable APIs, services, connectors, and pipelines for AI applications.
• Develop solutions using technologies such as Azure AI Foundry, Azure AI Search, Azure OpenAI, Microsoft Fabric, Databricks, Graph APIs, and Copilot Studio.
• Evaluate vector databases and knowledge-graph approaches for enterprise context management.
• Implement automated content ingestion, classification, enrichment, embedding, indexing, and lifecycle management.
  

Governance & Quality

• Establish knowledge quality controls covering accuracy, ownership, freshness, completeness, security, and lineage.
• Implement role-based access so AI agents retrieve only information users are authorized to access.
• Define evaluation frameworks for retrieval relevance, grounding, answer quality, and agent performance.
• Monitor retrieval failures, stale context, hallucinations, and knowledge gaps and continuously improve the solution.

What you bring:

• 4+ years of software, data, or AI engineering experience, with hands-on experience building enterprise AI solutions.
• Strong experience with LLMs, RAG, embeddings, vector search, prompt/context engineering, and AI agents.
• Experience building data/document ingestion and transformation pipelines.
• Strong Python development and API/integration experience.
• Experience working with structured and unstructured enterprise data.
• Understanding of metadata management, semantic search, information retrieval, and knowledge modelling.
• Experience integrating enterprise platforms such as Confluence, Jira, SharePoint, ServiceNow, or similar systems.
• Knowledge of security, identity, authorization, privacy, and responsible AI principles.
• Experience with Microsoft Azure AI technologies, especially Azure AI Foundry, Azure AI Search and Azure OpenAI is an asset.
• Experience with agent frameworks and protocols such as Semantic Kernel, LangGraph/LangChain or Model Context Protocol (MCP) is an asset.
• Knowledge of graph technologies such as Neo4j or other knowledge-graph platforms is an asset.
• Experience with Microsoft Fabric, Databricks, Purview, or enterprise data platforms is an asset.
• Experience designing AI solutions for large enterprise application landscapes is an asset.
• Familiarity with SDLC, solution architecture, business analysis, application portfolio management, and enterprise architecture is an asset.

We’re always looking for great talent! In addition to competitive pay, we offer:

• Comprehensive benefits and retirement programs
• Performance incentives, Continuing Education Programs
• Other perks to support your well-being
• Career growth opportunities and product discounts

Broadband Salary Range: $80,000.00 – $131,000.00. Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role. #LI-AG2

This posting represents an existing vacancy within our organization.

We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.

About Us

Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, over 1,600 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.

Our Commitment to Diversity, Inclusion and Belonging 

We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

Accommodations  

We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.