Associate-AI QE

PwC; Kolkata District, Hyderabad, Bengaluru; Hybrid; INR 1,000,000 - 2,000,000; Full time

Job summary

PwC is seeking specialists in AI-enabled testing and quality engineering to advance GenAI-driven testing practices, scenario generation, and automation scripting. The role emphasizes evaluation of AI-generated outputs for correctness and safety, and integration of AI in end-to-end test workflows within a modern CI/CD environment.

The ideal candidate will work with cloud platforms and leading QA tools, collaborating across teams to ensure robust test coverage, maintainability, and compliant AI

Qualifications

• Hands-on use of GenAI tools for testing requirements analysis, test scenario identification, test-case generation, test-data generation, automation code generation, execution support and defect analysis.
• Prompt engineering for QE: ability to create and refine prompts/context for generating test scenarios, test cases, automation scripts, test data and defect analysis.
• Understanding of LLMs, tokens/context windows, hallucinations, temperature, grounding and prompt/context management.

Skills

AI-assisted testing

GenAI tools

Prompt engineering

LLM understanding

Test automation

Programming: TS/JS/Java/Python

AI/CI/CD

Cloud fundamentals

Test management tools

Tools

GitHub Copilot

ChatGPT

Cursor

Claude

Gemini

Playwright

Selenium

Karate

REST Assured

MCP

Jenkins

Job description

Primary Skills Required Skills

• AI-Assisted Testing Hands-on use of GenAI/AI tools (2 tools are must :GitHub CoPilot, ChatGPT, Cursor, Claude, Gemini) for software testing requirements analysis, test scenario identification, test-case generation, test-data generation, automation code generation, execution support and defect analysis
• Prompt Engineering for QE "Ability to create and refine prompts/context for generating test scenarios, test cases, automation scripts, test data and defect analysis.
• Understanding of LLMs, tokens/context windows, hallucinations, temperature, grounding and prompt/context management""
• AI Assisted Automation Ability to develop and maintain automation with AI assistance (Playwright with MCP, Selenium with MCP Tosca, Karate, REST Assured). Experience in connecting to MCP server.
• Programming / Scripting TypeScript/JavaScript, Java or Python; ability to understand, review, debug and enhance AI-generated code
• Evaluate AI models for Testing Ability to critically review AI-generated test cases/code for correctness, coverage, hallucinations, security concerns and maintainability rather than accepting generated output blindly
• AI assisted CI/CD Integration and execution of automated tests through Jenkins, GitHub Actions, Azure DevOps or equivalent using AI tools
• AI Application Testing Exposure to testing chatbots, copilots and GenAI applications—including response quality, hallucination, groundedness and safety
• Cloud AWS, Azure or GCP (any 1)
• Test Management Jira, Azure DevOps, Xray, Zephyr or equivalent (any 1)
• RAG Fundamentals Basic understanding of Retrieval-Augmented Generation and using enterprise knowledge/context with LLMs

Secondary Skills Good to have Skills

• Agile/DevOps Agile/Scrum, shift-left testing and continuous testing practices
• Performance Testing Jmeter
• Domain Preferences Banking & Insurance, Pharma & Healthcare, Telecom, Media & Technology.

AI Platform/tool development

• Agent orchestration/AI accelerator building experience
• Effort savings using AI tools
• Mentoring Team members
• Strategic oversight to ensure compliance with internal standards and external regulatory requirements related to AI