GenAI QA Automation Engineer-Senior Associate

Overview

Join PwC's Acceleration Center India as a GenAI QA Automation Engineer (Senior Associate) within the Technology Consulting practice. The role designs and executes automation approaches to validate GenAI solutions and supports data and analytics engineering work.

What you'll do

• Develop and implement automated testing frameworks for data-driven solutions.
• Leverage advanced analytics and statistical techniques to extract insights from complex datasets.
• Collaborate with cross-functional teams to design and optimize data pipelines and workflows.
• Utilize programming languages such as C++ and R for data modeling and predictive analysis.
• Apply machine learning algorithms and neural networks to enhance data science projects.
• Conduct exploratory and descriptive analysis to support strategic decision-making.
• Build and maintain data visualizations to communicate insights effectively.
• Troubleshoot data science workflows to improve data quality and accuracy.
• Engage in continuous learning to stay updated with emerging technologies in artificial intelligence and data science.
• Support client engagements by providing technical guidance and innovative solutions.
• Mentor junior team members and manage assigned workstreams.

What you'll need

• At least a Bachelor's and Master's degree.
• At least 4 years of experience.
• Oral and written proficiency in English.

Nice to have

• Extensive hands-on expertise in Playwright automation with Python, including 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 using 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 functional, regression, integration, smoke, and end-to-end test scenarios, 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 with Git-based version control, code reviews, detailed test reports, and enforcing automation coding standards.
• Hands-on experience testing LLM/Generative AI and retrieval-augmented generation (RAG) applications, including prompt validation, response accuracy, hallucination detection, citation verification, and output consistency.
• Proficient in AI-powered development tools such as Claude, Cursor, ChatGPT, and GitHub Copilot to accelerate automation scripting, debugging, SQL generation, API test creation, documentation, and engineering efficiency.

Details

• Location: Bangalore, India.