Testing Automation Architect (AI Experience)

We’re looking for an experienced Testing Automation Architect with strong hands-on experience in AI-driven test automation to join our growing technology team in Hyderabad .
Role: Testing Automation Architect (AI Experience)
Experience: 10+ Years (Automation + 3+ Years in AI/Intelligent Testing)
Employment Type: Full-time
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:
Bachelor’s/Master’s 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.
Soft Skills:
Strong analytical and problem-solving mindset.
Excellent communication and collaboration skills.
Proven leadership and mentoring capabilities.
Passion for innovation in automation and AI-driven testing.