AI Enablement Student (4 months) - Fall 2026

Canadian Tire; Toronto; On-site; CAD 31,684 - 41,328; Part time

Benefits offered by this job

Career growth opportunities

Product discounts

Learning programs

Well-being programs

Job summary

Canadian Tire in Toronto, ON seeks an AI Enablement Student to help shape AI adoption across engineering teams. You will work on AI-powered documentation, guardrails, and developer productivity during a four-month Fall 2026 term.

Responsibilities include creating templates, exploring AI tools, and assisting with workshops and onboarding materials for broader AI adoption. Enrolled in relevant post-secondary programs and familiar with Java, Python, JS/TS, Swift, or Kotlin.

Qualifications

• Strong written and verbal communication skills
• Basic programming experience in Java, Python, JavaScript/TypeScript, Swift, or Kotlin
• Experience using Git and GitHub for version control and collaboration
• Basic understanding of prompt engineering and effective interaction with AI tools
• Documentation and collaboration tools such as Markdown, Mermaid, Confluence are assets

Responsibilities

• AI-Powered Technical Documentation: assist in standardizing and modernizing engineering documentation using AI-assisted approaches
• Standards, Best Practices & Guardrails Initiative: consolidate coding standards and engineering best practices into playbooks
• AI Enablement & Developer Productivity: research and evaluate emerging AI tools and contribute to adoption initiatives

Job description

Canadian Tire is seeking a highly motivated AI Enablement Student to join their Engineering Practices team in Toronto, ON for a four-month Fall 2026 work term. This role offers a unique opportunity to help shape how AI is adopted across engineering teams by contributing to technical documentation modernization, standards consolidation, and AI enablement initiatives.

What You'll Do

AI-Powered Technical Documentation:

• Assist in standardizing and modernizing engineering documentation using AI-assisted approaches
• Explore AI tools and techniques that improve documentation quality, discoverability, and maintenance
• Develop documentation templates, examples, and reusable artifacts that improve developer onboarding and knowledge sharing
• Apply hands-on coding and AI-assisted development skills to create AI-based documentation workflows and automation patterns

Standards, Best Practices & Guardrails Initiative:

• Support the consolidation of coding standards, engineering best practices, architectural guidance, and development guardrails into common playbooks
• Help create centralized repositories and knowledge bases that serve as a single source of truth
• Participate in Community of Practice (CoP) sessions and assist Staff Engineers in driving adoption of shared engineering standards
• Prototype practical solutions including reusable scripts, AI-assisted workflows, and proof-of-concepts

AI Enablement & Developer Productivity:

• Research and evaluate emerging AI tools that support software development, documentation, testing, code reviews, and engineering workflows
• Contribute to AI adoption initiatives by documenting use cases, lessons learned, and recommended practices
• Help develop AI instruction sets, prompts, templates, and guidance materials reusable by engineering teams
• Assist with workshops, demonstrations, onboarding materials, and communication assets supporting broader AI adoption

Requirements

• Currently enrolled in a post-secondary program (Computer Science, Software Engineering, Computer Engineering, IT, AI/ML, Data Science, or related discipline)
• Strong written and verbal communication skills
• Basic programming experience in Java, Python, JavaScript/TypeScript, Swift, or Kotlin
• Experience using Git and GitHub for version control and collaboration
• Basic understanding of prompt engineering and effective interaction with AI tools
• Experience using AI-powered developer tools (e.g., GitHub Copilot, Microsoft Copilot, ChatGPT, Claude)
• Documentation and collaboration tools (Markdown, Mermaid, Confluence) considered an asset

Compensation

Typical hiring range: $23.00 – $30.00 CAD per hour. Broadband range: $23.00 – $37.00 CAD per hour. Benefits include career growth opportunities, product discounts, and access to Canadian Tire's learning and well-being programs.

Currently enrolled in a post-secondary program in Computer Science, Software Engineering, Computer Engineering, IT, AI/ML, Data Science, or a related discipline. Basic programming experience in Java, Python, JavaScript/TypeScript, Swift, or Kotlin. Experience with Git and GitHub. Basic understanding of prompt engineering and AI tools such as GitHub Copilot, ChatGPT, or Claude.