QA Analyst - Sr Associate

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. In quality engineering at PwC, you will focus on implementing leading practice standards of quality in software development and testing processes. In this field, you will use your experience to identify and resolve defects, optimise performance, and enhance user experience.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
  
  

About PwC CTIO – EmTech

PwC’s Commercial Technology and Innovation Office (CTIO) is committed to shaping the future of technology within the firm. The EmTech (Emerging Technologies) division pioneers next-gen AI/ML/GenAI solutions, explores groundbreaking technologies, and delivers scalable innovation. We blend engineering rigor with applied AI research to transform ideas into real-world impact.

We are at the intersection of software engineering and AI innovation — pushing boundaries in LLMOps, MLOps, and AI infrastructure to enable agile, secure, and scalable delivery of AI-powered products across domains.

Role Overview

We are seeking Test Automation QA with 4 -6+ years of experience in IT, specializing in Generative AI Testing and Test Automation management. Expertise in designing and implementing AI-driven test strategies using advanced tools. Proficient in key skills such as test strategy design, test execution planning, test development & monitoring, and enterprise testing frameworks, with a strong focus on process automation and team leadership.

Key Responsibilities

• Design, develop, and maintain scalable and reliable test automation frameworks utilizing Python, Java/C##. Expertise in designing and implementing AI-driven test strategies using advanced tools like OpenAI, GitHub Copilot, etc.
• Demonstrate understanding of or possess hands-on experience with testing methodologies specific to Generative AI and large language model (LLM)-based systems.
• Perform thorough manual testing across web applications, APIs, and backend services to ensure functional stability and performance.
• Collaborate closely with software engineers and business analysts to gather and interpret requirements, ensuring comprehensive test coverage and alignment with business objectives.
• Execute various types of testing including functional, regression, integration, and system-level testing to ensure product quality and reliability.
• Develop and manage test plans, create detailed test cases, and document clear, actionable defect reports.
• Integrate automated test suites into CI/CD pipelines to enable continuous testing and quality assurance throughout the development lifecycle.
• Actively participate in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives, contributing to continuous improvement initiatives.
  
  

Mandatory Skills

• Over 4 to 9 years of professional experience in the IT industry, with a strong focus on test automation management.
• A minimum of 1.5 years of hands-on experience in testing Generative AI systems.
• Proven expertise in both automated and manual testing methodologies across diverse application landscapes.
• Sound understanding and/or practical experience in testing strategies specific to Generative AI and Large Language Model (LLM)-based applications.
• Strong proficiency in API testing and backend system validation to ensure data integrity and service reliability.
• Skilled in developing and maintaining test automation scripts using Python and Java.
• Extensive experience with automation frameworks such as Pytest, Selenium, Playwright, Rest Assured.
• Well-versed in Continuous Integration/Continuous Deployment (CI/CD) practices, with familiarity in integrating test suites into CI/CD pipelines using industry-standard tools.
  
  

Good To Have

• Experience with Azure DevOps (ADO) for comprehensive test management, task tracking, and collaboration within Agile development environments.
• Solid experience in leveraging AI and LLM evaluation frameworks like RAGAS for quality assessment, combined with proficiency in developing and validating custom GPT models for domain-specific applications.
  
  

Soft Skills & Team Expectations

• Strong communication and documentation skills; ability to clearly articulate technical concepts to both technical and non-technical audiences.
• Demonstrated ability to work independently as well as collaboratively in a fast-paced environment.
• A builder's mindset with a strong desire to innovate, automate, and scale.
• Comfortable in an agile, iterative development environment.
• Willingness to mentor junior engineers and contribute to team knowledge growth.