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...