AI QA Test Automation Engineer

Summary:

We are seeking an AI QA Test Automation Engineerto design, develop, and implement intelligent, AI‑driven test automation solutions leveraging AI/ML and GenAI technologiessuch asMicrosoft CopilotandGitHub 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 Playwrightframeworks.

Required Skills & Qualifications:

• 5+years in QA / Test Automation
• Strong hands‑on 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 cross‑browser and cross‑device testing
• Knowledge of defect lifecycle and test reporting
• Proficiency in Visual Studio Code (VS Code)
• Programming skills: Python / Type Script/JavaScript
• Leverage Microsoft Copilotand GitHub Copilotfor:
  • Accelerating test case design and documentation
  • Generating automation scripts and reusable components
  • Writing and optimizing test code and utilities
• Implement GenAI-based solutionsfor:
  • Requirement → Test case generation
  • Automation script scaffolding
  • Test data generation
• Apply ML techniquesfor:
  • Risk-based test prioritization
  • Intelligent test selection
  • Defect prediction & failure analysis
  • AI-assistedQA tools
• Hands-on experience or strong exposure to:
  • Microsoft Copilot/ GitHub Copilot
  • Prompt engineeringfor QA use cases
  • AI-assistedcode 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 end‑to‑end automation test scripts and frameworks(UI, API, and backend).

• Build automation scripts using:
  • Playwright
  • AI Poweredautomation 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