AI Process Integration EngineerThe AI Process Integration Engineer sits at the intersection of artificial intelligence deployment and mission workflow optimization — responsible for bridging the gap between approved, available AI/ML tools and their effective operational use across intelligence analysis, targeting, and screening and vetting workflows. This role does not wait for new tools to be approved; it maximizes the mission value of what is already on the network by redesigning the processes around those tools, configuring them for mission-specific use cases, and ensuring analysts can leverage them from Day 1.Key ResponsibilitiesAI Tool Evaluation & ConfigurationWorkflow Analysis & Process RedesignPrompt Engineering & Tool EnablementPerformance Measurement & Continuous ImprovementStakeholder Collaboration & Change ManagementEducation: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.Experience: 10+ years of experience in AI/ML tool deployment, systems integration, or business process engineering; at least 5 years supporting IC, DoD, or Federal law enforcement analytic environments.Technical Skills: Proficiency in AI/ML tool configuration, prompt engineering, workflow modeling (BPMN), and data pipeline management; experience with IC-approved analytic platforms and multi-classification network environments.Methodologies: Working knowledge of Lean Six Sigma, Agile, and continuous improvement frameworks applied to operational or intelligence environments.Soft Skills: Strong analytical thinking, clear written and verbal communication, and the ability to translate technical AI capability into practical mission value for non-technical analysts.Clearance: Active TS/SCI with CI Polygraph required.