Automation QA Engineer - AI Systems (Senior Consultant)

Job Description Roles & Responsibilities About the Role EY's AI Hub is looking for an experienced Automation QA Engineer to ensure the quality, reliability, and performance of our applications, including AI-powered products built on modern web stacks. You'll design and maintain automated test suites for applications built with Next.js and Python, with a strong focus on cross-browser testing and CI/CD integration. What You'll Do Design, build, and maintain automated test frameworks and suites for web applications (Next.js frontend, Python backend/services) Develop and execute cross-browser automated test scripts to ensure consistent functionality across Chrome, Firefox, Safari, and Edge Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions, or similar) to enable continuous testing and fast feedback loops Collaborate with developers, product managers, and other QA engineers to define test strategies and acceptance criteria Identify, document, and track bugs through to resolution, working closely with engineering teams Perform functional, regression, integration, and end-to-end testing Continuously improve test coverage, automation efficiency, and overall QA processes Contribute to test planning for AI-driven features and help define quality benchmarks for AI model outputs where applicable Monitor and maintain test environments and test data Desired Candidate Profile 4 – 8 years of experience in automation QA / SDET roles Strong hands-on experience testing web applications, ideally with Next.js/React-based frontends Proficiency in Python for writing test automation scripts and frameworks Solid experience with cross-browser testing tools and strategies Experience integrating automated tests into CI/CD pipelines (Jenkins, GitHub Actions, or similar) Strong understanding of QA methodologies: functional, regression, integration, and end-to-end testing Familiarity with version control systems (Git) Strong analytical and debugging skills, with attention to detail Good communication skills and ability to work closely with cross-functional teams Nice to Have: Experience working on AI/ML-powered projects or products (e.g., testing AI model outputs, chatbots, LLM-based features) Familiarity with API testing tools (Postman, REST Assured, etc.) Experience with performance or load testing Exposure to cloud platforms (AWS, Azure, or GCP) Company Industry BankingFinancial ServicesBroking Department / Functional Area QualityTestingQAQCInspector Keywords Automation QA Engineer - AI Systems (Senior Consultant) Get real-time job updates only on our App