Six specialized AI agents coordinate via a cloud-native microservices infrastructure to automate software quality assurance. The AINTMA architecture integrates risk assessment and reinforcement learning to prioritize test execution. It uses LLMs for generative quality intelligence. This framework reduces manual oversight for practitioners managing distributed cloud environments through autonomous decision-making.