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CA

Lead AI Engineer/QA

Comptech Associates Inc.
Location not stated
Staff / Principal
2 weeks ago
  • AI
  • Machine Learning
  • Python
  • Selenium
  • Cypress
  • Playwright
  • Agile
  • Test Automation
  • Git
  • CI/CD
  • GitHub Actions
  • Jenkins
  • Performance Testing
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Job Title: Lead AI Engineer/QA
Location: Halifax - (90 Western Parkway, Bedford, Nova Scotia, B4B 0G4) or Quebec (1 Place Ville Marie, Montreal H3B 5G9).
Duration: 6 Months (CTH)
No. of Positions: 1

JOB DESCRIPTION
WHAT IS THE OPPORTUNITY?
  • We're seeking an experienced QA Lead who can balance hands-on technical excellence with team leadership.
  • This role combines active testing on AI and Alternate data and automation, mentoring a team of QA engineers.
  • You'll drive quality initiatives, establish testing strategies, and ensure your team delivers exceptional results while remaining engaged in critical testing activities.

WHAT WILL YOU DO?
  • AI agent testing QE working on multiple projects implementing AI-based solutions
  • Experience using GenAI tooling for test-related activities
  • Mentor a team of QA engineers, providing technical guidance and career development support
  • Design, develop, and oversee automated test frameworks using industry-standard tools (Behave – Python - Selenium, Cypress, Playwright, or similar)
  • Allocate resources and prioritize testing efforts based on project needs and risk assessment
  • Conduct hands-on testing for critical features, complex scenarios, and architectural decisions
  • Establish and monitor quality metrics, providing regular reports to stakeholders
  • Drive continuous improvement initiatives in testing processes and methodologies
  • Facilitate collaboration between QA, development, and product teams
  • Lead root cause analysis for critical defects and production issues
  • Review and approve test plans, test cases, and automation scripts created by team members
  • Manage test environments, test data strategies, and testing infrastructure
  • Champion quality culture and advocate for testing best practices across the organization
  • Coordinate release testing efforts and provide go/no-go recommendations
  • In this role, you will communicate and interact frequently with RBC partners and/or employees located across Canada and/or worldwide

What do you need to succeed?
Must-have:
  • 8+ years of hands-on software testing experience
  • 3+ years in a QA leadership or team lead role
  • Deep understanding of testing methodologies, AI Testing, SDLC, and Agile practices
  • Degree in Computer science or related field. Masters would be considered a plus
  • Expert-level programming skills in Python with 5+ years automation development experience
  • Advanced experience with test automation frameworks and tools
  • Proven experience leading and mentoring QA teams of 3+ engineers
  • Strong leadership and people management skills
  • Experience in developing QA strategies and implementing process improvements
  • Proficiency with version control (Git), CI/CD tools (Github Actions, Jenkins)
  • Expertise in API testing and performance testing tools (locust)
  • Excellent stakeholder management and communication skills
  • Ability to make technical decisions and provide architectural guidance
  • Experience with resource planning, capacity management, and project estimation.

    Job Title: Lead AI Engineer/QA

    Location: Halifax or Quebec RBC Office (NOT TORONTO)

    Duration: 6 Months (CTH)

    No. of Positions: 1

    JOB DESCRIPTION

    WHAT IS THE OPPORTUNITY?

    · We're seeking an experienced QA Lead who can balance hands-on technical excellence with team leadership.

    · This role combines active testing on AI and Alternate data and automation, mentoring a team of QA engineers.

    · You'll drive quality initiatives, establish testing strategies, and ensure your team delivers exceptional results while remaining engaged in critical testing activities.

    WHAT WILL YOU DO?

  • AI agent testing QE working on multiple projects implementing AI-based solutions
  • Experience using GenAI tooling for test-related activities
  • Mentor a team of QA engineers, providing technical guidance and career development support
  • Design, develop, and oversee automated test frameworks using industry-standard tools (Behave – Python - Selenium, Cypress, Playwright, or similar)
  • Allocate resources and prioritize testing efforts based on project needs and risk assessment
  • Conduct hands-on testing for critical features, complex scenarios, and architectural decisions
  • Establish and monitor quality metrics, providing regular reports to stakeholders
  • Drive continuous improvement initiatives in testing processes and methodologies
  • Facilitate collaboration between QA, development, and product teams
  • Lead root cause analysis for critical defects and production issues
  • Review and approve test plans, test cases, and automation scripts created by team members
  • Manage test environments, test data strategies, and testing infrastructure
  • Champion quality culture and advocate for testing best practices across the organization
  • Coordinate release testing efforts and provide go/no-go recommendations
  • In this role, you will communicate and interact frequently with RBC partners and/or employees located across Canada and/or worldwide
  • What do you need to succeed?

    Must-have:

  • 8+ years of hands-on software testing experience
  • 3+ years in a QA leadership or team lead role
  • Deep understanding of testing methodologies, AI Testing, SDLC, and Agile practices
  • Degree in Computer science or related field. Masters would be considered a plus
  • Expert-level programming skills in Python with 5+ years automation development experience
  • Advanced experience with test automation frameworks and tools
  • Proven experience leading and mentoring QA teams of 3+ engineers
  • Strong leadership and people management skills
  • Experience in developing QA strategies and implementing process improvements
  • Proficiency with version control (Git), CI/CD tools (Github Actions, Jenkins)
  • Expertise in API testing and performance testing tools (locust)
  • Excellent stakeholder management and communication skills
  • Ability to make technical decisions and provide architectural guidance
  • Experience with resource planning, capacity management, and project estimation.

Lead AI Engineer/QA · Comptech Associates Inc.

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