GenAI QA Automation Engineer-Manager

PwC; Bengaluru; Presencial; INR 3 000 000 - 5 400 000; Tempo integral

Resumo da oferta

PwC Acceleration Center India in Bengaluru seeks a GenAI QA Automation Engineer-Manager to lead automated testing for generative AI solutions across data and analytics. You will coach teams, shape automation strategies, and ensure reliable release cycles within client engagements.

Design frameworks with Playwright and Python, validate REST APIs, perform SQL checks, and apply prompt validation for AI outputs.

Qualificações

• Bachelor’s and Master’s degree required.
• 8+ years of experience.
• English oral and written proficiency required.

Responsabilidades

• Develop automated testing frameworks for data-driven solutions.
• Leverage analytics to extract insights from complex datasets.
• Collaborate across teams to design and optimize data pipelines and workflows.
• Use C++ and R for data modeling and analysis.
• Apply ML algorithms to AI projects.
• Conduct exploratory and descriptive analyses for decision-making.
• Build and maintain data visualizations to communicate insights.
• Troubleshoot data science workflows to improve quality.
• Keep up with emerging AI technologies and best practices.
• Support client engagements with technical guidance and innovative solutions.

Conhecimentos

Playwright automation with Python

Python

REST API automation

Pytest

SQL

Test automation

LLM testing

RAG testing

Git

Prompt validation

Formação académica

Bachelor’s & Master’s degree

Ferramentas

GitHub Copilot

Descrição da oferta de emprego

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 hand-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

Travel Requirements

Not Specified