Job description
 
                         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, Test Complete, Tosca, or Katalon, integrated with AI/ML models.
- Automate testing for UI, API, performance, and mobile applications.
- Leverage Gen AI tools and LLMs (like Azure Open AI, Chat GPT, or Copilot) to enhance testing productivity.
- Collaborate with development and Dev Ops 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 Java Script.
- 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 Dev Ops).
- 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 Co Es (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.
 
                    
                    
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