Senior AI-Powered Quality Assurance Engineer

Key Responsibilities: ✅ Design and implement AI-powered QA strategies, including predictive quality analytics, automated test generation, and intelligent defect prediction. ✅ Build advanced automation frameworks with self-healing scripts, intelligent test prioritization, and adaptive test coverage analysis. ✅ Develop AI-driven quality dashboards, reporting systems, and actionable quality insights. ✅ Drive Agile, DevOps, CI/CD, and Continuous Testing practices in AI-enhanced development environments. ✅ Streamline QA processes to improve release velocity while maintaining high-quality standards. ✅ Collaborate closely with Development, Product, and Operations teams across the SDLC. ✅ Lead innovation initiatives around AI-powered testing tools and emerging QA technologies. ✅ Mentor QA engineers on intelligent automation frameworks and modern quality engineering practices Required Skills: Hands-on experience with AI-powered testing platforms such as *Testim, Mabl, Applitools, Functionize*, or similar tools. Strong expertise in *Selenium, Cypress, Playwright, and Appium*. Experience with *CI/CD pipelines, DevOps practices, containerization, and cloud-native testing*. Proficiency in *Python, Java, or JavaScript/TypeScript*. 5+ years of QA experience with at least 2+ years in a leadership role. 3+ years of hands-on experience with AI-driven testing tools and methodologies. Experience leading QA transformation, automation strategy, and innovation initiatives. Strong analytical, problem-solving, communication, and stakeholder management skills. Good to Have: ⭐ Predictive analytics and AI-assisted defect management. ⭐ Cloud platforms and enterprise-scale testing ecosystems. ⭐ Performance, Security, and API Automation Testing. ⭐ Experience in Digital Transformation or Enterprise Modernization programs. ⭐ Passion for emerging AI technologies and continuous improvement Skills:- Selenium, Appium, cypress, Python, Java and Javascript