QA Analyst

Job Description

PwC AC is hiring for QA Analyst Apply and get a chance to work with one of the Big4 companies #PwC AC. Job Titl e: QA Analyst Years of Experience : 4+ years Shift Timing s: 2PM-11PM Qualificatio n: Graduate and above(Full time) 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 6 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. Why Join PwC CTIO? Work at the cutting edge of AI engineering , deploying real solutions at production scale. Collaborate with visionary AI researchers , engineers, and product leaders to redefine what’s possible. Be part of a team that values both rapid experimentation and engineering excellence . Gain exposure to LLMOps and GenAI infrastructure at an enterprise scale. Join a culture that encourages continuous learning, bold thinking , and inclusive innovation .