Serve as the lead Artificial Intelligence and Machine Learning (AI/ML) Subject Matter Expert (SME) for an Intelligence Community rapid acquisition organization. Use rapid acquisition pathways to integrate disruptive AI/ML technologies into the analytic enterprise architecture. Provide programmatic support advising Government leads on the technical assessment, rapid prototyping, and integration of vendor-proposed cutting-edge AI/ML capabilities. Develop and manage program plans that directly support strategic objectives, including "Employ AI & Automation to speed analysis and production" and "Partner with industry to accelerate capability delivery." Utilize rapid, agile acquisition strategies to streamline technology discovery, assessment, and experimentation with AI/ML solutions. Serve as the primary technical liaison between Government stakeholders, data science teams, and industry partners to ensure AI/ML solutions are effectively integrated into modernized analytic infrastructure and data pathways. Translate agency and warfighter needs into actionable technical requirements for AI/ML systems, focusing on enabling multi-domain operations. Identify, assess, and mitigate risks associated with AI/ML model performance, data integrity, and operational deployment in a rapid fielding environment. Prepare and deliver senior-level briefings, technical roadmaps, and decision materials articulating the progress and strategic impact of AI at the Edge. Deep expertise in Artificial Intelligence and Machine Learning concepts and their application to real-world problems. 10+ years of experience supporting DoD or IC engineering, R&D, or rapid acquisition organizations. Demonstrated success leading the integration of innovative, asymmetric, or disruptive technologies for national security missions. Strong understanding of enterprise architecture, data pipelines, and the challenges of integrating new technologies into legacy systems. Proven ability to utilize rapid prototyping, agile acquisition, or other non-traditional workflows. Excellent communication skills, with the ability to bridge the gap between technical, operational, and strategic stakeholders. Advanced degree in Computer Science, Data Science, Engineering, or a related technical field. Experience with multi-INT data sources and analysis. Prior experience in a service RCO, DIU, SCO, or similar organization focused on accelerating technology adoption. Background in systems engineering or operational testing of AI-enabled systems. SAP experience is highly desired, but not required Must be a US citizen with an active TS/SCI clearance with SAP eligibility