AI QE Engineer

About the Role

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio. 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 - Associate, you will contribute to quality engineering activities that support software and product innovation efforts within our Technology Consulting practice. You will focus on learning, adapting to different client needs, taking ownership of assigned tasks, and building your technical skills while supporting delivery teams in a fast-paced environment. You will apply a learning mindset to testing and validation work, gather information from multiple sources, ask questions to build understanding, and help deliver dependable results that support client projects and your own career growth.

Key Responsibilities

• Supporting quality engineering activities across software development and testing efforts for client engagements
• Developing and executing test cases, test protocols, and user acceptance testing scenarios for applications and digital solutions
• Applying AI fluency and software testing knowledge to review model-driven features, validate outputs, and identify defects early
• Using Selenium and other digital tooling to automate repeatable test activities and expand test coverage
• Documenting defects, tracking test results, and communicating findings to project teams in a clear and timely manner
• Assisting with functional, systems integration, compatibility, and performance testing across releases
• Contributing to quality assurance process design, evaluation, and improvement efforts for client delivery teams
• Learning business context, technical standards, and release workflows while adapting to varied client and project needs

Requirements & Tech Stack

• At least a Bachelor's degree
• At least 1 year of experience
• Oral and written proficiency in English required
• Selenium
• Jira, Azure DevOps, Xray, Zephyr or equivalent

What Sets You Apart

• Hands-on use of GenAI/AI tools 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
• 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