AI/ML Architecture Development

The contract calls for the design and implementation of a scalable AI and machine learning framework that is deeply integrated into a wireless network fabric, focusing on end-to-end capabilities from model training to real-time inference and edge deployment. The architecture must support dynamic resource allocation, low-latency processing, and seamless coordination across distributed network nodes to enable intelligent decision-making at the network edge. Special emphasis is placed on developing robust pipelines that can adapt to varying network conditions, handle heterogeneous data sources, and maintain performance efficiency while minimizing bandwidth and computational overhead. The work is structured as a subcontract under the National Telecommunications and Information Administration, part of the Department of Commerce, with a NAICS code of 541715 for scientific research and development services. The solicitation was posted on July 14, 2026, and responses are due by September 9, 2026. Performance is expected to align with federal objectives for next-generation wireless infrastructure, requiring solutions that are secure, scalable, and capable of supporting future network evolution without significant re-architecting. While no specific geographic location is mandated for performance, the delivered system must be operationally viable within nationwide telecommunications environments managed by federal stakeholders.