GenAI QA Automation Engineer-Manager

PwC Acceleration Center India; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

PwC Acceleration Center India is seeking a GenAI QA Automation Engineer-Manager to lead automated testing for generative AI solutions, guiding cross‑functional data science and engineering teams. You will shape automation strategies, implement Playwright/Python frameworks, validate prompts, ensure data quality, and support client-facing outcomes with rigorous test coverage.

This role demands 8+ years of experience, strong English communication, and a hands-on approach to building reliable

Qualifications

• Requires Bachelor’s & Master’s degrees
• Minimum 8 years of experience in QA automation
• Proficiency in English (oral and written)

Responsibilities

• Develop automated testing frameworks for data-driven solutions
• Leverage analytics to extract insights from complex datasets
• Collaborate with cross-functional teams to design data pipelines
• Apply ML concepts to enhance data science projects
• Conduct exploratory and descriptive analyses to support decisions
• Build data visualizations to communicate insights
• Triage and debug data workflows to improve quality
• Stay updated with AI/testing tech and best practices
• Guide client engagements with technical solutions

Skills

Leadership

Test automation strategy

GenAI testing

Data analysis

Education

Bachelor's & Master's degree

Tools

Playwright automation

Pytest

Page Object Model (POM)

Python Requests

Postman

SQL

Job description

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