Artificial intelligence is reshaping how complex engineering systems are designed and simulated. Recent advances show how large language models and multi-agent coordination can automate tasks that previously required extensive expert effort. In aerospace and automotive design, multi-agent AI systems are already being explored for coordinating aerodynamics, structures, and controls. Offshore wind, however, has yet to embrace these approaches, despite being a highly multidisciplinary engineering domain. Scaling toward 20–25 MW turbines requires tight integration of aerodynamics, hydrodynamics, structures, controls, and operations. High-fidelity methods such as CFD, FEA, and coupled co-simulation provide accurate predictions but remain computationally expensive. NeuroSim-FLOAT is introduced as a multi-agent AI framework specifically tailored to floating offshore wind turbine structural component design, simulation, and optimization. The framework builds upon the previously developed FLOAT methodology, which demonstrated fatigue-aware redesign of the IEA 22 MW floating wind turbine tower through a largely manual and sequential workflow. NeuroSim-FLOAT generalizes this approach by replacing manual orchestration with autonomous AI agents, each responsible for numerical simulation, frequency-domain analysis, fatigue evaluation, and design optimization, coordinated through shared objectives and negotiation. A proof-of-concept study demonstrates that NeuroSim-FLOAT can automatically translate high-level design intents into solver-ready simulations, execute physics-based analyses, and converge to physically consistent design solutions without manual intervention inside the design loop once initialized. Compared to the original FLOAT workflow, the proposed framework employs a coordinated system of four specialized AI agents, to automate workflow coordination while preserving multidisciplinary fidelity. By integrating physics-based solvers with cooperative AI agents, NeuroSim-FLOAT enables scalable and transparent design workflows, providing a practical pathway toward faster design cycles and reduced cost of energy for next-generation floating offshore wind turbines.