GenAI Automation Test Lead/Architect

What you'll do

• Develop and implement GenAI solutions for automated test design, code generation, execution, and defect analysis.
• Design and build AI-assisted UI and API automation frameworks using modern quality engineering practices.
• Lead the architecture of Generative AI solutions including prompt engineering, model optimization, and RAG frameworks.
• Define Quality Engineering and GenAI adoption roadmaps aligned to business objectives and governance standards.
• Mentor engineers on GenAI, Agentic AI, automation, model deployment, and AI safety best practices.
• Design GenAI solutions for test data generation, synthetic data creation, and intelligent test case generation.
• Evaluate AI platforms, vendors, and build-versus-buy strategies for enterprise adoption.

What we're looking for

• 14+ years of experience in Quality Engineering, Test Architecture, and enterprise-scale test automation programs.
• Hands-on expertise in Generative AI, Agentic AI, Prompt Engineering, RAG architectures, and AI-assisted testing solutions.
• Strong programming skills in Python and Java with deep experience in Selenium, Playwright, API Automation, and scalable automation frameworks.
• Experience with Azure OpenAI, AWS Bedrock, LangChain, LangGraph, GitHub Copilot, Anthropic Claude, and related AI ecosystems.
• Proven ability to define QE strategy, automation roadmaps, governance frameworks, and lead global teams.
• Experience designing GenAI solutions for test data generation, synthetic data creation, and intelligent test case generation (preferred).
• Experience building AI-powered quality engineering platforms and productivity accelerators (preferred).
• Knowledge of transformer architectures, LLMs, multimodal AI, model fine-tuning, and insurance domain experience (preferred).