IN- Associate_ Artificial Intelligence Test Automation Engineer (immediate to 45 days NP) _AppTech_Advisory_ Kolkata

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Operations

Management Level

Associate

Job Description & Summary

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.

As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support.

*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.

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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

• · Strong programming skills in Python, with exposure to AI libraries and frameworks (LangChain, LlamaIndex, OpenAI APIs).
• · Good understanding of LLM architectures, RAG