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Lead AI Engineer/QA
Job Description & How to Apply Below
- 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.
- 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
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.
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