Test Automation Lead - Automation with AI

Role & responsibilities

Job Summary

We are looking for a Test Automation Lead who can lead automation initiatives and build AI-powered test automation solutions using Playwright, Python, JavaScript/TypeScript, and modern GenAI technologies.

Key Responsibilities

• Lead the design and implementation of enterprise-grade automation frameworks.
• Define automation strategy across UI, API, and end-to-end testing.
• Lead Playwright automation using Python and TypeScript/JavaScript.
• Design reusable frameworks, libraries, utilities, fixtures, and automation standards.
• Identify opportunities to use AI/LLMs to improve the complete testing lifecycle.
• Implement AI-assisted test case generation, test script generation, test data generation, defect analysis, failure analysis, test maintenance, and self-healing automation.
• Evaluate and integrate AI testing tools and technologies.
• Build POCs and convert successful POCs into scalable solutions.
• Integrate automation with CI/CD and DevOps pipelines.
• Establish coding, automation, reporting, and quality standards.
• Review automation code and mentor automation engineers.
• Work with architects and engineering teams to define automation architecture.
• Provide technical estimates and contribute to client discussions, POCs, and solution proposals.

Required Skills

• 610 years of experience in Test Automation.
• Strong hands-on experience with Playwright.
• Excellent Python programming skills.
• Strong JavaScript/TypeScript knowledge.
• Strong experience in UI, API, and E2E automation.
• Experience designing automation frameworks from scratch.
• Strong understanding of CI/CD, Git, Docker, and cloud environments.
• Strong understanding of Generative AI and LLM-based applications.
• Experience with Prompt Engineering and AI-assisted software development/testing.
• Experience implementing or evaluating AI-driven test automation solutions.
• Strong leadership, communication, mentoring, and problem-solving skills.

Good to Have

• Experience with AI Agents, RAG, MCP, LangChain, or agent orchestration.
• Experience with self-healing automation.
• Knowledge of LLM APIs such as OpenAI, Claude, Gemini, etc.
• Experience with performance/accessibility automation.
• Experience in building internal automation accelerators or QE platforms.