GenAI Automation QE Lead

Job Description/ Responsibilities/ Years of experience: • GenAI solution in STLC o Build/Test Solution to create test automation code for UI/API through Automation tool/GenAI assisted coding o Build/Test solution for test data mining using Generative AI • Architecture & Design o Participate in design and implementation of Automation Framework, solutions, fine-tuning pipelines, and prompt engineering frameworks o Participate in cross-functional GenAI initiatives and PoC's across entire software lifecycle • Strategy & Roadmap o Define Automation/GenAI adoption roadmap in alignment with client goals o Evaluate build-vs-buy decisions and advise on vendor/platform selections o Advocate for responsible AI practices and model governance frameworks • Collaboration & Leadership o Collaborate with data scientists, ML engineers, product managers, and key stakeholders o Mentor teams in GenAI best practices, including model optimization, deployment, and safety measures 13-16 years of experience in Quality Engineering, Test Architecture, and Automation, with proven leadership in enterprise-scale testing programs. What are the top skills required for this role? • Strong proficiency in Python, Java, Selenium, Playwright, API Automation, and building scalable AI-driven testing frameworks. • Learning/Hands-on expertise in Generative AI, Agentic AI, Prompt Engineering, RAG, and AI-assisted test automation for test design, execution, and defect analysis. • Learning/Experience with LLM ecosystems and AI platforms such as Azure OpenAI, AWS Bedrock, LangChain, LangGraph, GitHub Copilot, and Anthropic Claude Code.