Summary
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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 purposeled and valuesdriven 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 .
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), RetrievalAugmented Generation (RAG), and Agentic AI systems. The ideal candidate will be responsible for building AIpowered agents and automation solutions that accelerate Quality Assurance (QA) workflows. This includes developing intelligent systems capable of selfdriven test case generation, defect triage, validation, and datadriven decisionmaking. This role blends core automation engineering with AI innovation and is ideal for professionals who want to push the boundaries of AIassisted testing and autonomous QA systems. . Why Join Us Join a forwardlooking 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 selfoptimize setting new standards for speed, precision, and innovation in software testing.
Responsibilities
Design and develop AIdriven 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 RAGenabled 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, selfhealing scripts, and contextaware 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 highquality 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 problemsolving and analytical skills with a passion for AIdriven quality engineering.
Excellent communication skills and ability to collaborate across Agile teams.
Preferred skill sets
Handson 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 fulltime mode with no extension of course duration due to backlogs
Education
Degrees/Field of Study required Master Degree, Bachelor Degree
Degrees/Field of Study preferred
Required Skills
Test Automation
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
