Lead AI Engineer/QA

• 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?

• Experience using GenAI tooling for test-related activities
• 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.