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.