Associate Director, Lead QE AI Engineer

Job Description

Job Description What is the Opportunity? Seeking an experienced QE AI Lead who can balance hands-on technical excellence with team leadership. This role combines active testing and automation work with leading and 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 and automation activities. This role is a 90% hands-on role. What will you do? Lead and mentor a team of QA engineers, providing technical guidance and career development support Define and implement QA strategies, standards, and best practices across the organization Design, develop, and oversee automated test frameworks using industry-standard tools 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: Strong experience with AI/ML tools for testing and evaluations Expert-level programming skills in Python with 5 years automation development experience 8 years of hands-on software testing and automation experience 3 years in a leadership or team lead role Deep understanding of testing methodologies, AI Testing, SDLC, and Agile practices Proven experience leading and mentoring QA teams onshore and offshore Advanced experience with test automation frameworks and tools 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) Expertise in API testing and performance testing tools Excellent stakeholder management and communication skills Experience with resource planning, capacity management, and project estimation Nice-to-have: Post Graduate degree in Data Science. Cloud-related experience. What is in for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is m

Required Skills