Lead AI Test Automation Architect

Requirements

• 10-14 years of experience in QE, SDET, Test Automation, or Software EngineeringMust
• Strong Python, TypeScript, or Java developmentMust
• Hands-on Playwright or Selenium for UI automationMust
• API automation with PyTest, Requests, or RestAssuredMust
• Strong experience with LLMs and GenAIMust
• Prompt Engineering experienceMust
• RAG (Retrieval-Augmented Generation) implementationMust
• Vector Databases experienceMust
• AI Agents / Agentic AI implementationMust
• Model Context Protocol (MCP) experienceMust
• AWS, Azure, or GCP cloud platform experienceMust
• Performance testing and automationMust

What you'll do

• Design and lead AI-powered test automation frameworks
• Build AI agents and RAG solutions for testing workflows
• Develop UI, API, and performance automation
• Integrate AI and QE solutions into CI/CD pipelines
• Define QE strategy, architecture, and quality standards
• Provide technical leadership and mentor QE and engineering teams
• Collaborate with development, product, and architecture teams

Keywords

About the role

Role Overview Seeking a Lead AI Test Automation Architect / Senior SDET to design and lead AI-powered Quality Engineering and test automation solutions. The role requires strong automation architecture, hands-on coding, and experience with LLMs, RAG, Agentic AI, and AI-driven testing. Key Responsibilities • Design and lead AI-powered test automation frameworks. • Build AI agents, RAG solutions, and intelligent testing workflows. • Develop UI, API, and performance automation. • Integrate AI/QE solutions into CI/CD pipelines. • Define QE strategy, architecture, and quality standards. • Provide technical leadership and mentor QE/engineering teams. • Collaborate with development, product, and architecture teams. Requirements • 10–14 years of experience in QE, SDET, Test Automation, or Software Engineering • Strong Python, TypeScript, or Java development • Hands-on Playwright/Selenium and API automation (PyTest, Requests, RestAssured) • Strong experience with LLMs, GenAI, Prompt Engineering, RAG, and Vector Databases • Experience with AI Agents / Agentic AI, including LangChain, LangGraph, AutoGen, or CrewAI • Experience with MCP and AI-enabled workflows • Design and lead AI-powered test automation frameworks • Build AI agents, RAG solutions, and intelligent testing workflows • Integrate automation and AI solutions into CI/CD pipelines • Experience with AWS, Azure, or GCP • Provide technical leadership, architecture, and mentoring • Collaborate with development, product, and architecture teams in an Agile environment Highlights Full Time Current Vacancy Originally posted on Himalayas