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Automation QA Engineer - AI Systems (Senior Consultant) - AI Hub - Amman

Location:  Amman
Other locations:  Primary Location Only
Salary: Competitive
Date:  5 Jul 2026

Job description

Requisition ID:  1708675

About the Role

 

EY's AI Hub is looking for an experienced Automation QA Engineer to ensure the quality, reliability, and performance of our applications, including AI-powered products built on modern web stacks. You'll design and maintain automated test suites for applications built with Next.js and Python, with a strong focus on cross-browser testing and CI/CD integration. 

 

What You'll Do

 

  • Design, build, and maintain automated test frameworks and suites for web applications (Next.js frontend, Python backend/services)
  • Develop and execute cross-browser automated test scripts to ensure consistent functionality across Chrome, Firefox, Safari, and Edge
  • Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions, or similar) to enable continuous testing and fast feedback loops
  • Collaborate with developers, product managers, and other QA engineers to define test strategies and acceptance criteria
  • Identify, document, and track bugs through to resolution, working closely with engineering teams Perform functional, regression, integration, and end-to-end testing
  • Continuously improve test coverage, automation efficiency, and overall QA processes
  • Contribute to test planning for AI-driven features and help define quality benchmarks for AI 
    model outputs where applicable
  • Monitor and maintain test environments and test data 

What We're Looking For

  • 4–8 years of experience in automation QA / SDET roles
  • Strong hands-on experience testing web applications, ideally with Next.js/React-based frontends Proficiency in Python for writing test automation scripts and frameworks
  • Solid experience with cross-browser testing tools and strategies
  • Experience integrating automated tests into CI/CD pipelines (Jenkins, GitHub Actions, or similar) Strong understanding of QA methodologies: functional, regression, integration, and end-to-end testing
  • Familiarity with version control systems (Git)
  • Strong analytical and debugging skills, with attention to detail 
  • Good communication skills and ability to work closely with cross-functional teams  

 

Nice to Have

 

  • Experience working on AI/ML-powered projects or products (e.g., testing AI model outputs, chatbots, LLM-based features)
  • Familiarity with API testing tools (Postman, REST Assured, etc.)
  • Experience with performance or load testing
  • Exposure to cloud platforms (AWS, Azure, or GCP) 

 

Why Join Us

 

Be part of EY's AI Hub, working on cutting-edge AI-driven projects alongside a collaborative, innovation-focused team, with the opportunity to shape quality practices for next-generation applications. 

Apply now »