Six specialized AI agents coordinate via a cloud-native microservices framework to automate software quality assurance. The AINTMA architecture uses LLMs for generative quality intelligence and reinforcement learning for test prioritization. This research targets the removal of manual decision-making in distributed cloud environments. It offers a blueprint for autonomous test management workflows.