AI QE Engineer - Manager

Industry/Sector

Not Applicable

Specialism

Quality Engineering

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 an AI QE Engineer you will lead the design and delivery of testing approaches for software products and AI-enabled solutions, with focus on quality engineering, automation, and validation across the development lifecycle. As a Manager you will guide teams, coach junior professionals, manage client workstreams, and take ownership of planning, execution, and delivery while applying sound judgment and business awareness. In this role at PwC, you will work within our Software and Product Innovation practice and help shape digital solutions, improve testing methods, and drive dependable outcomes across client engagements.

Responsibilities

- Leading AI quality engineering workstreams across client engagements and guiding teams through planning, execution, and delivery
- Managing test strategy design for functional, integration, regression, performance, and user acceptance testing across software solutions
- Applying AI fluency and quality engineering methods to validate model behavior, testing scope, and release readiness
- Overseeing Selenium based automation, test case generation, defect reporting, and quality metrics to support efficient delivery
- Coaching team members on quality assurance process design, testing methods, and release management practices
- Collaborating with client and technology stakeholders to define acceptance criteria, assess risks, and address testing issues
- Reviewing delivery artifacts for completeness, traceability, and alignment with technical standards and client objectives
- Identifying opportunities to improve testing processes, strengthen software reliability, and advance AI enabled delivery approaches

What You Must Have

- At least a Bachelor's degree
- At least 8 years of experience
- Oral and written proficiency in English required

What Sets You Apart

- Hands-on use of GenAI/AI tools (2 tools are must :GitHub CoPilot, ChatGPT, Cursor, Claude, Gemini)  for software testing — requirements analysis, test scenario identification, test-case generation, test-data generation, automation code generation,

execution support and defect analysis

Prompt Engineering for QE
AI Assisted Automation

Programming / Scripting

Evaluate AI models for Testing

AI assisted CI/CD

AI Application Testing

RAG Fundamentals

Jira, Azure DevOps, Xray, Zephyr or equivalent

-Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Computer and Information Science, Computer Engineering, Graphic Design, Information Technology, Management Information Systems, Mathematics
- Demonstrating AI quality engineering experience across client engagements and delivery cycles
- Leading testing strategy, automation design, and defect analysis for AI solutions
- Mentoring teams in quality engineering methods, tools, and delivery practices
- Applying machine learning validation, data testing, and performance testing
- Translating technical findings into client-ready recommendations and action plans

Travel Requirements

Not Specified

Job Posting End Date

October 17, 2026