Job Information
TRIAEM, LLC Senior AI/ML Modeling, Simulation & Analysis Engineer (Part-Time) in WMA, Virginia
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.