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Lead the design and implementation of an AI-driven QA strategy to transform testing processes.

Architect and build next-generation QA frameworks leveraging AI/ML and Generative AI.

Drive innovation across test automation, defect prediction, and test optimization to improve quality, efficiency, and speed.

Act as a technical leader and advisor, enabling teams to adopt AI-powered testing solutions at scale.

Job Requirements

- Define and execute the AI-based QA strategy across projects.

- Design and develop scalable AI-enabled automation frameworks.

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Implement AI/GenAI use cases such as:

- Test case & script generation

- Defect analysis & prediction

- Risk-based and intelligent testing

- Test data generation

- Build self-healing automation, smart reporting, and predictive analytics solutions.

- Evaluate and integrate AI tools, LLMs, and QA platforms.

- Collaborate with cross-functional teams (QA, Dev, Product, DevOps).

- Establish best practices, governance, and reusable QA components.

- Develop POCs and scale them to enterprise-level solutions.

- Define and track automation and AI effectiveness metrics.

- Mentor teams on AI-driven QA practices.

Education

- 10+ years in QA, automation, or architecture roles.

- Strong experience in test automation frameworks (Selenium, Playwright, Cypress, Appium, REST Assured, etc.).

- Solid understanding of AI/ML/GenAI concepts applied to QA.

- Hands-on experience with LLM-based solutions (test generation, log analysis, etc.).