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QA Automation Engineer (Generative AI

Job in Burgess Hill, West Sussex, RH15, England, UK
Listing for: Cognizant
Part Time position
Listed on 2026-08-22
Job specializations:
  • Software Development
    Software Testing, AI QA / Validation Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 60000 - 90000 GBP Yearly GBP 60000.00 90000.00 YEAR
Job Description & How to Apply Below
Position: QA Automation Engineer (Generative AI)

We are seeking a highly skilled QA Automation Engineer with expertise in Generative AI, modern automation frameworks, and hands-on AI experience. The ideal candidate will drive quality assurance initiatives using cutting-edge technologies and AI-powered testing solutions.

Role requires working from office in Burgess Hill 3 days a week.

Key Responsibilities
  • Implement AI-powered testing solutions to enhance test coverage and efficiency
  • Create and execute API tests using Rest Assured or Karate frameworks
  • Collaborate with development teams to ensure quality throughout the SDLC
  • Analyze test results and provide actionable insights
  • Mentor junior team members on automation best practices
  • Contribute to continuous improvement of testing processes
Key Skills and Experience
  • Strong understanding of Generative AI concepts and applications in software testing
  • Familiarity with LLMs, prompt engineering, and AI model integration
  • Proficient in Python programming for test automation and scripting
  • Experience with Python testing frameworks (pytest, unittest)
  • Ability to develop custom automation utilities and tools
  • Experience with Node.js ecosystem for testing
  • Understanding of modern ES6+ features
  • Hands-on experience with Playwright for end-to-end testing
  • API testing capabilities within Playwright
  • Expertise in API testing using Rest Assured (Java) or Karate framework
  • RESTful API validation and automation
  • Data-driven testing and BDD approach
  • Hands-on experience integrating AI into testing workflows
  • Understanding of AI/ML testing challenges and solutions
  • Experience with AI-powered test generation or analysis tools
Additional Requirements
  • Experience in software testing and automation
  • Strong understanding of CI/CD pipelines and Dev Ops practices
  • Experience with version control systems (Git)
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration abilities
  • Ability to work in an Agile/Scrum environment
Nice To Have
  • Experience in financial services or payments industry
  • Knowledge of security testing practices
  • Cloud platform experience (AWS, Azure, GCP)
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