• Define, implement and evolve the automated testing strategy for the AI platform. • Build and maintain automation for validating APIs and integrated solution flows. • Support quality assurance in a product context with integrations, workflows and critical platform components. • Structure test scenarios focused on reliability, regression, functional coverage and execution efficiency. • Work closely with technical teams to anticipate risks, validate deliveries and strengthen the platform's quality maturity. • Integrate test automation into continuous delivery pipelines to increase predictability and reduce production failures. • Support the development of a quality culture driven by evidence, metrics and technical governance. • Plan, develop and maintain test automations for the AI platform. • Develop API test automation using Postman or Pactum. • Structure test scenarios using BDD/Gherkin. • Develop automation scripts and frameworks using JavaScript. • Ensure organization, execution and traceability of tests through test management tools and structured reports. • Integrate automated test runs into CI/CD pipelines using tools like Jenkins, GitLab or GitHub. • Support the definition of quality criteria, coverage and evidence for delivery validation. • Collaborate with development, product and architecture teams to ensure quality from definition through delivery. • Identify risks, propose improvements and support the evolution of the platform's quality processes. • Contribute to the stability, reliability and continuous improvement of automated testing operations.