GenAI QA Automation Engineer-Manager
LocationBangalore
Typefull-time
SeniorityLead
Experience8+ yrs
DepartmentData, Analytics & AI
Company size10,000+ people
PostedOct 7, 2026 · 5d ago
Verified live18h ago
At a glanceSummarised by Seekless from the posting.
At least a Bachelor's & Master's degree
At least 8 years of experience
Oral and written proficiency in English required
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
Skills
Playwright
Python
Pytest
Page Object Model
REST API
Postman
SQL
Git
Claude
Cursor
ChatGPT
GitHub Copilot
C++
R
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Manager
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-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
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
Requirements
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
Nice to have
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