Six specialized AI agents coordinate via a cloud-native microservices infrastructure to automate software quality assurance. The AINTMA architecture uses reinforcement learning for prioritization and LLMs for quality intelligence. This framework replaces manual test management with an autonomous ecosystem. Practitioners can now automate risk assessment and execution orchestration within secure cloud environments.