This thesis proposes a theoretical framework and a candidate architecture for the integration of Generative Artificial Intelligence (GenAI) within Application Lifecycle Management (ALM) platforms, to address the challenges, safety constraints and regulatory demands of the Requirements Management in the automotive industry. The research was conducted in collaboration with MCA Engineering S.r.l., an international engineering and high-tech consultancy company based in Turin, operating across numerous innovation-driven projects in the automotive sector. The preliminary phase comprises a comprehensive literature review and market analysis, followed by the identification of the product quality model. The analysis prioritizes four of the nine characteristics defined by the ISO/IEC 25010 standard, namely: maintainability, reliability, security, and usability.