Lead AI Engineer/QA

Job summary

Lead QA strategy and execution across AI-based projects, including hands-on testing, automated framework development, and release readiness recommendations. Mentor and guide QA engineers, coordinate with development and product teams, monitor quality metrics, and drive continuous improvement.

Job details

Job Title: Lead AI Engineer/QA Location: Quebec Duration: 6 Months (CTH) 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 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.

What you’ll do

Lead QA strategy and execution across AI-based projects, including hands-on testing, automated framework development, and release readiness recommendations. Mentor and guide QA engineers, coordinate with development and product teams, monitor quality metrics, and drive continuous improvement.

Requirements

Requires 8+ years of software testing experience, 3+ years in QA leadership, and expert Python skills with 5+ years of automation development. Candidates should have a computer science or related degree, strong automation, API and performance testing expertise, and experience leading teams, improving QA processes, and working with CI/CD tools.

Listed skills

• Python · Preferred
• Git · Preferred
• Agile · Preferred
• Root Cause Analysis · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• AI Testing
• Quality Assurance Leadership
• Python
• Test Automation
• Behave
• Selenium
• Cypress
• Playwright
• API Testing
• Performance Testing
• Locust
• Git
• GitHub Actions
• Jenkins
• Agile
• Root Cause Analysis

Job areas

• Technology
• Software
• Management & Leadership
• Engineering

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