AI QA Automation Architect Apps

AI Expert QA Automation (cod: TN)

We are looking for a highly proactive QA Automation Engineer with a strong focus on AI-driven testing strategies to drive the automation of our client’s testing processes. In this role, you will not be limited to standard feature verification; instead, you will focus on transforming, modernizing, and optimizing how the client executes software quality assurance across their ecosystem. Your primary mission will be to design and implement automated testing frameworks tailored for intelligent applications, specifically validating the behavior and integration points of AI copilots and automated assistants.

This position requires a professional who acts with high autonomy to identify manual testing bottlenecks, structural risks, and regression inefficiencies.

• University degree in Computer Science, Software Engineering, Information Systems, or a related field.
• More than five years of professional experience in software quality assurance, with a proven track record of automating complex engineering processes.
• Demonstrated experience testing AI-driven features, copilots, chatbots, or natural language processing engines.
• Deep proficiency in modern automation tools and frameworks such as Playwright, Selenium, Cypress, or Appium.
• Strong programming skills in languages common for automation and backend logic, such as C#, Python, or JavaScript/Type Script.
• Advanced experience with API testing tools and validating RESTful web services.
• Solid understanding of CI/CD tools and experience embedding automated processes into deployment pipelines.
• Advanced English level (C1) for smooth collaboration with international engineering teams and stakeholders.

• Architect, develop, and implement scalable test automation frameworks from scratch to automate complex testing processes for the client.
• Establish automation and validation strategies specifically designed for AI copilots, including testing for conversational accuracy, response relevance, and latency.
• Modernize legacy or manual testing processes by converting them into efficient, repeatable automated test suites.
• Build and execute automated integration tests to ensure seamless data flows between frontend surfaces and complex backend infrastructures.
• Monitor delivery health across platforms, using data-driven testing methodologies to isolate root causes of structural defects.
• Integrate automated test suites directly into CI/CD pipelines to enforce automated quality gates and enable reliable software delivery.
• Participate in technical discovery and feasibility assessments to help structure testing plans for new product phases and future integrations.
• Document automation architectures, data flow testing paths, and application verification results to define new standards for the client.