> Markdown version of [/jobs/ext/4324055-qa-automation-lead-ai-test-automation](https://www.wearedevelopers.com/jobs/ext/4324055-qa-automation-lead-ai-test-automation). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # QA Automation Lead AI & Test Automation - **Company:** Vidha IT Solutions LLC - **Location:** Plano, TX, United States - **Experience:** Expert - **Salary:** $135,200.0 - $145,600.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Computer Programming, Databases, Continuous Integration, Github, Python (Programming Language), Power BI, Selenium, SQL Databases, Tableau (Software), TypeScript, Performance Testing, Large Language Models, Grafana, Prompt Engineering, Cypress (Programming Language), Generative AI, Kubernetes, Playwright, Api Management, Docker, Jenkins, Microservices - **Published:** October 31, 2026 - **Apply:** https://www.juju.com/job/12_365120c9 ## About the Role We are looking for a highly experienced QA Automation Lead with strong hands-on expertise in test automation, framework development, quality engineering, and AI-assisted testing., 15+ years of experience in QA and test automation Strong programming skills in Java, Python, JavaScript, or TypeScript Hands-on experience with Selenium, Playwright, Cypress, or similar automation frameworks Expertise in API testing, microservices, SQL, and database validation Experience with CI/CD pipelines, Jenkins, GitHub Actions, or Azure DevOps Strong knowledge of automation framework design, quality metrics, and test reporting Practical experience with Generative AI, LLMs, prompt engineering, and AI-assisted testing Ability to lead automation initiatives, mentor QA engineers, and collaborate with cross-functional teams Preferred Skills: * Cloud platforms: AWS, Azure, or GCP * Quality dashboards: Power BI, Tableau, or Grafana * Docker, Kubernetes, performance testing, and AI/LLM validation