Load balancing in reverse proxies becomes increasingly complex at scale due to varying request types, dynamic server environments, and the need for session persistence. Challenges include managing unequal request loads, maintaining server availability, and ensuring efficient traffic distribution among multiple proxies. Solutions involve using advanced algorithms and techniques like consistent hashing, slow starts, and enhanced health checks to optimize performance and resource utilization.