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PWC • India
Role & seniority: AI Test Automation Engineer, Senior Associate
Stack/tools: AI frameworks (LangChain, AutoGen, LlamaIndex, Semantic Kernel); QA automation (Selenium, Playwright, Cypress); programming (Python, Java, C#); LLM/RAG/Agentic AI concepts; vector DBs (Pinecone, Weaviate, FAISS, Chroma); CI/CD tools (Jenkins, GitHub Actions, Azure DevOps); data stores (SQL, NoSQL, vector DBs)
Design and develop AI-driven QA agents and intelligent automation pipelines for test validation and execution
Build RAG-enabled test agents that retrieve contextual assets/defects to inform recommendations; enable adaptive test generation and self-healing scripts
Integrate LLMs/AI models with automation frameworks; validate outputs for accuracy and grounding; collaborate with AI/DevOps teams to operationalize in CI/CD; perform data validation across structured/unstructured data
Proficiency in Selenium, Playwright, or Cypress; frameworks like TestNG, PyTest, or Cucumber
Strong Python (with AI libraries) and exposure to LangChain, LlamaIndex, OpenAI APIs
Understanding of LLM architectures, RAG pipelines, and Agentic AI concepts
Experience with vector databases and cloud data stores; familiarity with CI/CD
Problem-solving, analytical skills, and strong communication in Agile settings
AI observability/tracing (LangSmith, DeepEval); Responsible AI and interpretability practices
Prior work buildi
Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary A career within Enterprise Architecture services, will provide you with the opportunity to bring our clients a competitive advantage through defining their technology objectives, assessing solution options, and devising architectural solutions that help them achieve both strategic goals and meet operational requirements. We help build software and design data platforms, manage large volumes of client data, develop compliance procedures for data management, and continually researching new technologies to drive innovation and sustainable change. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: We are seeking an AI Test Automation Engineer with proven expertise in automation frameworks and a strong understanding of Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI systems. The ideal candidate will be responsible for building AI-powered agents and automation solutions that accelerate Quality Assurance (QA) workflows. This includes developing intelligent systems capable of self-driven test case generation, defect triage, validation, and data-driven decision-making. This role blends core automation engineering with AI innovation and is ideal for professionals who want to push the boundaries of AI-assisted testing and autonomous QA systems. . Why Join Us Join a forward-looking Quality Engineering team driving the transformation from automation to intelligence. As an AI Test Automation Engineer, you’ll help shape the future of Agentic QA, designing systems that learn, reason, and self-optimize — setting new standards for speed, precision, and innovation in software testing. Responsibilities: · Design and develop AI-driven QA agents using frameworks such as LangChain, AutoGen, LlamaIndex, or Semantic Kernel to automate validation and test execution workflows. · Build intelligent automation pipelines capable of reasoning over structured and unstructured data to support QA activities. · Develop RAG-enabled test agents that retrieve and contextualize test assets, requirements, and historical defects for intelligent recommendations. · Integrate LLMs and AI models with automation frameworks to enable adaptive test generation, self-healing scripts, and context-aware validation. · Design modular automation frameworks using Selenium WebDriver, Playwright, or Cypress in Python, Java, or C#. · Collaborate with AI and DevOps teams to operationalize Agentic QA workflows within CI/CD pipelines. · Validate LLM outputs for accuracy, grounding, and factual consistency, ensuring high-quality AI behavior in production environments. · Perform data validation and testing across structured (SQL, relational) and unstructured (NoSQL, vector DBs) databases. · Contribute to AI Quality Engineering accelerators and internal innovation initiatives within the Test CoE. Mandatory skill sets: · · Proficiency in test automation tools (Selenium, Playwright, Cypress) and frameworks (TestNG, PyTest, Cucumber). · · Strong programming skills in Python, with exposure to AI libraries and frameworks (LangChain, LlamaIndex, OpenAI APIs). · · Good understanding of LLM architectures, RAG pipelines, and Agentic AI concepts (task orchestration, reasoning loops, and autonomy). · · Experience integrating with vector databases (Pinecone, Weaviate, FAISS, Chroma) and cloud data stores. · · Familiarity with DevOps and CI/CD ecosystems (Jenkins, GitHub Actions, Azure DevOps). · · Strong problem-solving and analytical skills with a passion for AI-driven quality engineering. · · Excellent communication skills and ability to collaborate across Agile teams. Preferred skill sets: · Hands-on experience with AI observability and tracing tools (LangSmith, DeepEval). · Understanding of Responsible AI principles and model interpretability practices. · Prior work building custom AI agents or copilots for QA, automation, or DevOps use cases. · Certifications in AI/ML, Test Automation, or Cloud Technologies. Years of experience required: 3+ to 7 Years of Experience in software automation testing and QA Education qualification: B.E. / B.Tech / MCA/ M.E/ M.TECH/ MBA/ PGDM. All qualifications should be in regular full-time mode with no extension of course duration due to backlogs Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Agile Methodology Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment, Performance Management Software {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.