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QA TECH XPERTS PVT LTD • Noida, Uttar Pradesh, India
Role & seniority: AI Quality Engineering Leader, 5+ years experience; leadership/ownership of QA platform and cross-functional delivery
Stack/tools: UI, functional, regression, API testing; automation frameworks; CI/CD integration; experience with AI-enabled testing tools and self-healing frameworks; enterprise QA platforms
Define/own product vision, roadmap, prioritization for an AI-powered QA platform; align with business goals
Lead QA domain across UI, functional, regression, API testing; translate challenges into scalable platform features
Drive AI enablement within Quality Engineering, oversee backlog, sprint planning, stakeholder communication, and cross-functional collaboration
5+ years in QA engineering, automation, or QA platform development
Deep hands-on testing experience (UI, functional, regression, API) and automation/CI-CD proficiency
Proven ability to build or scale QA solutions or internal platforms; strong product mindset; translate requirements into user stories and acceptance criteria
Experience in Agile environments
Exposure to AI-driven testing tools or self-healing frameworks
Enterprise client engagement experience; familiarity with quality KPIs, adoption metrics, and platform analytics
Location & work type: Remote, India
AI Quality Engineering Leader
Company: QA Tech Xperts Pvt. Ltd.
Experience: 5+ Years
Location: Remote | India Role Overview We are looking for an AI Quality Engineering Leader to own the vision, design, and evolution of this platform. This role combines deep QA expertise with strong product ownership and close collaboration across AI, engineering, and enterprise delivery teams. You will shape differentiated QA capabilities, lead last-mile implementation, and ensure measurable quality and business outcomes for clients. Key ResponsibilitiesProduct Vision & Ownership Define and communicate a clear product vision aligned with business goals. Own the roadmap, feature prioritization, and long-term direction of the AI-powered QA platform. Analyze market trends, competitive offerings, and emerging AI technologies. Drive build vs buy decisions with a focus on scalability and enterprise value. QA Domain Leadership