AI QA Lead Engineer in Chennai, भारत

Job Description :Key Responsibilities :- Define and implement comprehensive test strategies, quality standards, and testing processes.- Lead integration, regression, UAT, and release testing activities.- Validate migration outcomes, data quality, and data reconciliation results.- Drive the test automation strategy and adoption of automation frameworks.- Manage defect lifecycle, root cause analysis, and resolution tracking.- Coordinate with development, business, data, and product teams to ensure release readiness.- Mentor QA resources and establish testing best practices across teams.- Ensure testing processes align with banking application requirements and quality https://jobeax.com/link/NKlt3YnZFxTxA2qx Skills :- Strong experience in Test Automation and QA processes.- Hands-on experience in API Testing.- Strong SQL skills for data validation and testing.- Experience in Data Reconciliation Testing and migration validation.- Strong experience in Integration Testing and Regression Testing.- Experience coordinating UAT and Release Validation.- Proficiency in Defect Management and Root Cause Analysis.- Strong analytical, problem-solving, and stakeholder-management https://jobeax.com/link/5w81xjLJaYGSG01f Skills :- Hands-on experience with GenAI coding assistants such as Claude Code, GitHub Copilot, or similar tools for AI-assisted development.- Strong prompt engineering skills with the ability to provide clear instructions and feedback to AI tools.- Ability to critically review, validate, and test AI-generated code and content before implementation.- Basic understanding of LLM concepts, including RAG, context windows, hallucinations, and responsible AI https://jobeax.com/link/E00qLmZDpXHJjFEm Skills :- Experience with Databricks validation frameworks.- Hands-on experience with PySpark testing.- Knowledge of performance testing and performance validation.- Experience working on banking applications and financial technology platforms. (ref:hirist.tech)