AI-Powered QA Test Automation Engineer

AI QA Test Automation Engineer Summary: We are seeking an AI QA Test Automation Engineer to design, develop, and implement intelligent, AIdriven test automation solutions leveraging AI/ML and GenAI technologies such as Microsoft Copilot and GitHub Copilot. The role focuses on improving software quality, accelerating test cycles, and enabling predictive and self-healing testing within a CI/CD ecosystem by leveraging Playwright frameworks. Required Skills & Qualifications: 5+ years in QA / Test Automation Strong handson experience with Playwright Experience with various design patterns and frameworks Experience in API automation ( Playwright /REST Assured / Postman ) Familiarity with CI/CD tools (Azure DevOps, Jenkins, GitHub, etc.) Strong understanding of SDLC, STLC, and Agile methodologies Experience in crossbrowser and crossdevice testing Knowledge of defect lifecycle and test reporting Proficiency in Visual Studio Code ( VS Code ) Programming skills: Python / Type Script/JavaScript Leverage Microsoft Copilot and GitHub Copilot for: Accelerating test case design and documentation Generating automation scripts and reusable components Writing and optimizing test code and utilities Implement GenAI-based solutions for: Requirement Test case generation Automation script scaffolding Test data generation Apply ML techniques for: Risk-based test prioritization Intelligent test selection Defect prediction & failure analysis AI-assisted QA tools Hands-on experience or strong exposure to: Microsoft Copilot / GitHub Copilot Prompt engineering for QA use cases AI-assisted code and test generation CI/CD tools: Azure DevOps / Jenkins / GitHub Actions Version control: Git/ GitHub Cloud exposure: Azure (preferred) / AWS Ability to drive AI adoption in QA teams Role & Responsibilities: Design and develop endtoend automation test scripts and frameworks (UI, API, and backend). Build automation scripts using: Playwright AI Powered automation tools Analyse automation failures and ensure timely fixes for stability and reliability Participate in regression cycles, SIT/UAT support, and production validation Develop self-healing automation (dynamic locators, smart retries) Improve automation stability using AI-assisted debugging Enable smart reruns and flaky test detection Define and implement AI-driven QA strategies Optimize test coverage and execution efficiency Analyze test and defect data using AI/ML models Work closely with Product, Development, and DevOps teams Drive adoption of AI-powered QA practices across teams Basic Qualifications: BS degree in Computer Science or related discipline or 5+ years of experience as a QA resource working on multiple projects 4+ years in QA / Test Automation 1+ years in AI-Powered QA Experience Level Mid Level AI QA Test Automation Engineer Summary: We are seeking an AI QA Test Automation Engineer to design, develop, and implement intelligent, AIdriven test automation solutions leveraging AI/ML and GenAI technologies such as Microsoft Copilot and GitHub Copilot. The role focuses on improving software quality, accelerating test cycles, and enabling predictive and self-healing testing within a CI/CD ecosystem by leveraging Playwright frameworks. Required Skills & Qualifications: 5+ years in QA / Test Automation Strong handson experience with Playwright Experience with various design patterns and frameworks Experience in API automation ( Playwright /REST Assured / Postman ) Familiarity with CI/CD tools (Azure DevOps, Jenkins, GitHub, etc.) Strong understanding of SDLC, STLC, and Agile methodologies Experience in crossbrowser and crossdevice testing Knowledge of defect lifecycle and test reporting Proficiency in Visual Studio Code ( VS Code ) Programming skills: Python / Type Script/JavaScript Leverage Microsoft Copilot and GitHub Copilot for: Accelerating test case design and documentation Generating automation scripts and reusable components Writing and optimizing test code and utilities Implement GenAI-based solutions for: Requirement Test case generation Automation script scaffolding Test data generation Apply ML techniques for: Risk-based test prioritization Intelligent test selection Defect prediction & failure analysis AI-assisted QA tools Hands-on experience or strong exposure to: Microsoft Copilot / GitHub Copilot Prompt engineering for QA use cases AI-assisted code and test generation CI/CD tools: Azure DevOps / Jenkins / GitHub Actions Version control: Git/ GitHub Cloud exposure: Azure (preferred) / AWS Ability to drive AI adoption in QA teams Role & Responsibilities: Design and develop endtoend automation test scripts and frameworks (UI, API, and backend). Build automation scripts using: Playwright AI Powered automation tools Analyse automation failures and ensure timely fixes for stability and reliability Participate in regression cycles, SIT/UAT support, and production validation Develop self-healing automation (dynamic locators, smart retries) Improve automation stab