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Moderate brand plus broad automation and GenAI skillset creates medium competition among experienced QA engineers.
Strong QA and AI skills are transferable, but finance domain and specific tooling raise sensitivity to moderate.
Explicit 8+ years, mandatory SQL and specialized GenAI/toolset enforce high shortlisting strictness.
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Lead design, development, and maintenance of scalable, enterprise-grade AI-powered automation and testing frameworks including Selenium, Playwright, and AI/ML models.
Drive AI-driven quality engineering initiatives such as test case generation, defect prediction, and autonomous testing systems integrating GenAI and agentic AI technologies.
Collaborate cross-functionally to translate requirements into automated and AI-enabled QA solutions, mentor junior engineers, and standardize automation strategy across projects.
8+ years experience in QA Automation, SDET, or Quality Engineering roles.
Strong expertise in Selenium, Playwright, API Testing (REST/SOAP), and CI/CD integration with Agile/Scrum.
Proficiency in Python, Java/JavaScript/TypeScript, and advanced SQL for database validation.
Hands-on experience with Generative AI tools and frameworks such as LangChain, Hugging Face, LLM APIs, and demonstration of AI/ML model development for quality use cases.
Experienced in building and scaling automation frameworks from the ground up and integrating with CI/CD pipelines for enterprise applications.
Skilled in applying Generative AI, RAG systems, and AI agent orchestration to QA processes for intelligent automation and predictive quality assurance.
Able to lead cross-functional teams, enforce best practices, and innovate in autonomous AI-driven quality engineering environments.