Job
Description
As an AI Test Automation Architect, your role involves driving touchless automation using AI across all phases of STLC. This includes architecting AI-driven test automation frameworks for web, mobile, API, microservices, and enterprise applications. You will integrate AI-powered tools for self-healing scripts, intelligent test generation, and anomaly detection. Your key responsibilities will include: - Defining an end-to-end automation strategy covering functional, performance, security, and accessibility testing. - Implementing MLOps for testing, which involves model-based test prioritization, defect prediction, and risk-based testing. - Ensuring CI/CD integration with automated quality gates and real-time dashboards. - Collaborating with development, QA, and DevOps teams to align automation with delivery pipelines. - Evaluating emerging AI testing technologies and recommending adoption strategies. - Mentoring teams on AI-assisted automation practices and framework design. - Optimizing test execution performance and reducing maintenance through AI-based self-healing. - Establishing governance and best practices for automation and AI ethics in testing. Your qualifications should include proven capabilities in driving touchless automation using AI, along with experience in architecting AI-driven test automation frameworks and integrating AI-powered tools. Additionally, experience in implementing MLOps for testing, CI/CD integration, and evaluating emerging AI testing technologies is essential. If there are any additional details about the company in the job description, please provide them. As an AI Test Automation Architect, your role involves driving touchless automation using AI across all phases of STLC. This includes architecting AI-driven test automation frameworks for web, mobile, API, microservices, and enterprise applications. You will integrate AI-powered tools for self-healing scripts, intelligent test generation, and anomaly detection. Your key responsibilities will include: - Defining an end-to-end automation strategy covering functional, performance, security, and accessibility testing. - Implementing MLOps for testing, which involves model-based test prioritization, defect prediction, and risk-based testing. - Ensuring CI/CD integration with automated quality gates and real-time dashboards. - Collaborating with development, QA, and DevOps teams to align automation with delivery pipelines. - Evaluating emerging AI testing technologies and recommending adoption strategies. - Mentoring teams on AI-assisted automation practices and framework design. - Optimizing test execution performance and reducing maintenance through AI-based self-healing. - Establishing governance and best practices for automation and AI ethics in testing. Your qualifications should include proven capabilities in driving touchless automation using AI, along with experience in architecting AI-driven test automation frameworks and integrating AI-powered tools. Additionally, experience in implementing MLOps for testing, CI/CD integration, and evaluating emerging AI testing technologies is essential. If there are any additional details about the company in the job description, please provide them.
