QA Automation Engineer

• Design, build, deploy, and maintain AI-powered automation tools that streamline workflows for the marketing department and adjacent teams
• Translate non-technical requirements from marketing team members into clean, maintainable software with appropriate AI components
• Own projects end-to-end: gather requirements, plan the technical approach, write the code, deploy and host the solution, and provide ongoing maintenance and support
• Develop AI-driven integrations between internal systems and external marketing platforms
• Maintain and administer the marketing team's Asana workspace, including project structure, custom fields, automation, integrations, and ongoing optimization to support team workflows

AI Engineer – Marketing AI Automation

• Design, build, and maintain robust automation frameworks specifically tailored for testing AI features, including LLM-powered outputs, recommendation engines, and intelligent workflows.
• Develop and execute test strategies for validating AI model outputs, including accuracy, relevance, consistency, and bias evaluation across diverse input scenarios.
• Perform functional, regression, performance, and scalability testing on AI-driven features, including API-level testing of AI service integrations and end-to-end automated test suites.
• Collaborate with AI engineers, data scientists, product managers, and UX designers to define acceptance criteria and quality standards for AI features throughout the development lifecycle.
• Identify, document, and track defects in AI behavior, including edge cases, hallucinations, and unexpected model responses through resolution using appropriate tools and workflows.
• Champion quality and responsible AI practices throughout the development lifecycle, contributing to prompt engineering reviews, model evaluation rubrics, and AI safety checklists.
• Build and maintain CI/CD-integrated automation pipelines that continuously validate AI feature quality, using tools such as Playwright, Claude, or equivalent frameworks.
• Participate in team stand-ups, sprint planning, retrospectives, and continuous improvement activities, bringing an AI-quality-first mindset to every discussion and helping establish best practices for testing intelligent systems.

Quality Assurance Automation Engineer – AI

• Deliver KTLO activities, incidents, service, and problem management using automation-first approaches.
• Design, build, and maintain CI/CD pipelines for network configuration and deployments.
• Implement and enforce source control practices (Git) and versioning standards for network configurations.
• Develop and maintain Infrastructure-as-Code (IaC) solutions using tools such as Ansible, Bicep, ARM, or Terraform.
• Lead and contribute to the adoption of DevOps practices within the Networking team.
• Drive continuous improvement of network operations through automation and standardization.
• Develop reusable automation frameworks and support tiered operational teams.
• Evaluate and integrate new network automation and DevOps technologies.
• Support enforcement of enterprise standards, frameworks, and policies related to networking and automation.

QA Automation Engineer jobs in Canada

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AI Engineer – Marketing AI Automation

Quality Assurance Automation Engineer – AI

NetDevOps Engineer, Networking Automation