The upscaling of wind turbines has shifted rotor design from a purely aerodynamic challenge to a multidisciplinary design optimization (MDO) problem, requiring simultaneous consideration of aerodynamic performance, structural integrity, and cost. One promising approach within this framework is the Low Induction Rotor (LIR) concept, which trades reduced aerodynamic efficiency for decreased structural loading and increased rotor size. However, integration of LIR design into high-fidelity MDO environments has been limited, particularly with respect to structural modeling. This work presents a novel MDO framework that applies the LIR concept to the IEA 15 MW reference turbine using a parameterized axial induction distribution and incorporates two structural constraints: root bending moment and blade tip deflection. High-fidelity structural modeling is achieved through NuMAD and BeamDyn, enabling the generation of Pareto-optimal blade families that offer meaningful gains in power capture while satisfying structural constraints. This approach demonstrates the viability of LIRs in realistic engineering applications and establishes a pathway for high-fidelity rotor design optimization.