Senior AI/ML Modeling, Simulation & Analysis Engineer (Part-Time)

Job Description Job Description Senior AI/ML Modeling, Simulation & Analysis Engineer (Part-Time) Active TS/SCI Required Location: Chantilly, Va or Springfield, Va We are seeking a Senior AI/ML Modeling, Simulation & Analysis (MS&A) Engineer to support NGA mission initiatives focused on AI modernization, model assurance, and verification frameworks. This part-time role provides high-level technical advisory support across AI/ML strategy, verification, validation, and explainability efforts in classified GEOINT environments. This is a senior-level opportunity for an experienced engineer who understands both the operational mission and the rigor required for trusted AI systems in national security applications. Key Responsibilities Conduct AI/ML gap analyses assessing impact across intelligence, command and control, targeting, autonomous systems, and training environments. Provide subject matter expertise in AI Assurance, Independent Verification & Validation (IV&V), and Explainable AI (XAI) . Support Analysis of Alternatives (AoA), Design of Experiments (DoE), trade studies, and engineering assessments . Advise Government stakeholders on strategic technical planning, performance engineering, and risk management . Develop quantitative and qualitative metrics to ensure confidence and trust in AI models. Contribute to AI Assurance frameworks including V&V-as-a-Service and advanced T&E methodologies . Evaluate system architectures, cloud capabilities, CI/CD pipelines, and automation workflows. Collaborate across NGA, NSG, IC partners, and industry teams to advance enterprise AI strategy. Required Qualifications Active TS/SCI clearance (required). Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or related STEM field (or equivalent senior-level experience). Demonstrated experience in AI model verification, validation, and evaluation (IV&V / T&E) . Experience supporting AI Assurance and/or Explainable AI (XAI) initiatives. Proficiency in programming languages such as Python, C++, MATLAB, R, or Java . Experience developing engineering solutions leveraging AI, automation, and augmentation technologies. Desired Qualifications Experience supporting NGA or Intelligence Community programs . Familiarity with DevSecOps, CI/CD pipelines, and cloud-based AI environments . SAFe Agile and/or Model-Based Systems Engineering (MBSE). Experience with Atlassian tools (JIRA, Confluence). Experience working with structured and unstructured Big Data.