GenAI QA Automation Engineer-Manager

The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As a GenAI QA Automation Engineer-Manager you will lead the design and delivery of automated testing approaches for generative AI solutions, with a focus on validation, test coverage, and dependable release cycles within our Data and Analytics Engineering practice. As a Manager you will coach teams, guide execution across workstreams, and apply sound judgment to review deliverables, manage priorities, and support client-facing outcomes. In this role at PwC Acceleration Center India, you will collaborate across data science and engineering efforts, shape automation strategies for AI-enabled products, and help develop practical testing methods that support reliable deployment and ongoing enhancement.
Responsibilities
Developing and implementing automated testing frameworks for data-driven solutions
Leveraging advanced analytics and statistical techniques to extract insights from complex datasets
Collaborating with cross-functional teams to design and optimize data pipelines and workflows
Utilizing programming languages such as C++ and R for data modeling and predictive analysis
Applying machine learning algorithms and neural networks to enhance data science projects
Conducting exploratory and descriptive analysis to support strategic decision-making
Building and maintaining data visualizations to communicate insights effectively
Troubleshooting data science workflows to improve data quality and accuracy
Engaging in continuous learning to stay updated with emerging technologies in artificial intelligence and data science
Supporting client engagements by providing technical guidance and innovative solutions
What You Must Have
At least a Bachelor's & Master's degree
At least 8 years of experience
Oral and written proficiency in English required
What Sets You Apart
Extensive hands-on expertise in Playwright automation with Python, including the design and maintenance of scalable automation frameworks using Pytest, Page Object Model (POM), fixtures, parameterization, and data-driven testing techniques.
Proven experience in REST API automation leveraging Python Requests, Pytest, Postman, and similar tools, with solid knowledge of HTTP methods, status codes, headers, JSON payloads, authentication, error handling, and API response validation.
Strong proficiency in SQL for backend testing, covering database validation, complex joins, stored procedures, data reconciliation, and ensuring data integrity across systems.
Skilled in automating diverse test scenarios, including functional, regression, integration, smoke, and end-to-end testing, aligned with Agile principles and best testing practices.
Comprehensive understanding of test planning, test case design, defect lifecycle management, debugging, root cause analysis, and driving quality assurance in dynamic development environments.
Experienced in using Git-based version control systems, performing code reviews, generating detailed test reports, and enforcing automation coding standards to maintain high-quality deliverables.
Hands-on experience testing LLM/Generative AI and retrieval-augmented generation (RAG) applications, focusing on prompt validation, response accuracy, hallucination detection, citation verification, and output consistency.
Proficient in leveraging AI-powered development tools such as Claude, Cursor, ChatGPT, and GitHub Copilot to accelerate automation scripting, debugging, SQL generation, API test creation, documentation, and overall engineering efficiency

Work arrangement
No