PwC

GenAI QA Automation Engineer-Senior Associate

India · Work style not stated · Full time

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About the role

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EmployerPwC
LocationIndia
Work styleWork style not stated
Employment typeFull time
Employer posted7 Oct 2026

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

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-Senior Associate you will design and execute automation approaches that validate GenAI solutions, translate testing needs into practical test coverage, and support the delivery of data and analytics engineering work within our Technology Consulting practice. As a Senior Associate you will analyze complex issues, build meaningful client connections, manage assigned workstreams, mentor junior team members, and use critical thinking to navigate ambiguity while developing deeper technical skills and business context.

Show full description

In this role at PwC, you will contribute to quality-focused automation for AI-driven solutions, interpret data to inform recommendations, and help shape deliverables that support client service engagements. You will bring the ability to respond to different perspectives, use a broad range of tools and methods to solve problems, and uphold professional and technical standards while growing your personal brand and strengthening your role in delivery.

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 4 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

Travel Requirements

Not Specified

Job Posting End Date

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