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About the Role
General Summary
- Design, develop, and maintain robust test automation frameworks for UI, API, and data layers.
- Identify quality gaps, inefficiencies, and risk areas across applications, pipelines, and systems.
- Build and implement AI‑powered agentic approaches (AI agents that analyze, decide, and act) to enhance QA processes such as test generation, defect triage, root‑cause analysis, and test optimization.
- Leverage Generative AI / LLMs for intelligent test case creation, exploratory testing, test maintenance, and documentation.
- Integrate AI‑based solutions into CI/CD pipelines to enable continuous testing and faster feedback loops.
- Apply AI for self‑healing automation, flaky test detection, impact analysis, and regression optimization.
- Collaborate closely with Product, Development, DevOps, and Data teams to ensure end‑to‑end quality.
- Ensure test strategy alignment with business goals, scalability...
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