Lead AI Test Automation Architect
Summary
Design and lead AI-powered test automation frameworks using LLMs, RAG, and agentic AI. Build intelligent testing workflows and integrate them into CI/CD pipelines.
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.
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