Lead the testing and quality assurance workstream for an AIDriven Development Lifecycle DLC Proof of Concept POC ensuring the quality reliability and effectiveness of AI powered capabilities across the software development lifecycle Drive end to end validation of AI assisted requirements analysis test case generation code generation test automation defect prediction and quality engineering processes Collaborate with business stakeholders development teams QA teams architects and
Responsibilities
Primary Skills
Strong experience in Software Testing and Quality Engineering including Functional Testing Automation Testing API Testing Test Strategy Test Management and Quality Governance.
Proven experience leading AI GenAI Testing Initiatives including AI-generated Test Case Validation AI-assisted Code and Requirement Validation Prompt Testing Model Output Verification Test Coverage Assessment and AI Outcome Quality Measurement.
Robust Test Management and Governance skills including test strategy development stakeholder management defect governance risk management readiness reporting KPI tracking and cross-functional coordination with Development QA Product and AI/ML teams.
Secondary Skills
Experience with GenAI-enabled Software Development Lifecycle (SDLC) solutions AI testing frameworks and prompt engineering.
Knowledge of Playwright Selenium API Testing CI/CD DevOps GitHub Copilot Azure OpenAI and AI-assisted development tools.
Experience with Python automation framework design test orchestration and quality engineering practices.
Understanding of LLM validation AI model evaluation AI governance and responsible AI practices.
possess a bachelors degree or equivalent practical experience in computer science information technology or a related field with a focus on software quality or test engineering disciplines.
bring six to ten years of hands on experience in quality enginee
📌 Sr. Quality Engineer (Chennai)
🏢 Cognizant
📍 Chennai
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