As part of OGC Disasters Resilience Pilot IV (D123 — AI Advances of SDIs Report Section), this D-123 Generative AI in Wildland Fire (WF) Management Engineering Report focus was to assess the domain adaptation needed for Generative AI to support advancements in the wildland fire community as informed by user needs assessments as well as technical assessments of potential advances and efficiencies. The Wildland Fire community leverages data and advanced tools to enhance planning and operational decision-making, aiming to supplement rather than replace experiential knowledge and anecdotal evidence. GenAI, while early in its technical evolution, with a human-in-the-loop approach, offers transformative potential by enabling scalability in data processing beyond human capabilities. Exploring GenAI further, particularly in scenarios where significant efficiency gains are feasible, is imperative. Integrating GenAI into wildfire management necessitates a comprehensive strategy encompassing data, process, technical, and ethical considerations. This report explores the needed input, tools, challenges, and recommendations for next steps to implementing GenAI to support the Wildland Fire Management lifecycle. This effort had a follow-on Phase 2 (D-030) with a specific focus on Wildland Fire Insurance in Canada [OGC DISASTER RESILIENCE PILOT IV: D-030 GENERATIVE AI FOR WILDFIRE STATE-OF-THE-ART ENGINEERING REPORT].