Testing Automation Architect

As a Testing Automation Architect with AI experience, you will be responsible for designing and implementing end-to-end automation strategies, architecting AI/ML-enabled test automation frameworks, and automating testing for various applications. You will collaborate with development and DevOps teams to establish CI/CD-based test automation pipelines and mentor QA teams to enhance automation and AI testing practices. Key Responsibilities: - Design and implement end-to-end automation strategies across multiple applications and platforms. - Architect AI/ML-enabled test automation frameworks for intelligent test generation, prioritization, and defect prediction. - Evaluate and implement tools like Selenium, Cypress, Playwright, TestComplete, Tosca, or Katalon, integrated with AI/ML models. - Automate testing for UI, API, performance, and mobile applications. - Leverage GenAI tools and LLMs (like Azure OpenAI, ChatGPT, or Copilot) to enhance testing productivity. - Collaborate with development and DevOps teams to enable CI/CD-based test automation pipelines. - Drive test data automation, self-healing scripts, and intelligent test case generation. - Mentor QA teams and establish best practices, standards, and governance for automation and AI testing. Required Skills: - Expertise in automation tools Selenium, Cypress, Playwright, Tosca, etc. - Strong programming skills in Python, Java, or JavaScript. - Experience in AI/ML model integration for automation (e.g., predictive testing, anomaly detection). - Hands-on experience with cloud platforms (Azure/AWS/GCP) and CI/CD tools (Jenkins, Azure DevOps). - Familiarity with AI-driven testing tools such as Testim.io, Mabl, Functionize, or Applitools. - Solid understanding of software QA methodologies, frameworks, and Agile processes. Preferred Qualifications: - Bachelors/Masters degree in Computer Science, Engineering, or related field. - AI/ML or Automation certifications (e.g., ISTQB Advanced Test Automation Engineer, AI for QA, or Azure AI). - Experience in building automation CoEs (Centers of Excellence) or leading enterprise-scale QA transformation projects. In addition to the above, you should possess strong analytical and problem-solving skills, excellent communication and collaboration abilities, proven leadership and mentoring capabilities, and a passion for innovation in automation and AI-driven testing.,