Teams at Charles River Analytics

Design, implement, debug, and optimize neuro-symbolic and deep learning AI systems; collaborate with engineers and subject-matter experts; lead R&D programs; write reports and papers; engage with customers and manage deployments.

Customize and configure agent-based simulation backends and AI agent training for military wargaming. Define analytical problems with customers, implement agent behaviors and decision logic, deploy and maintain containerized systems, evaluate agent outputs, debug traces, document DSLs and limitations, and translate field needs into product requirements and acceptance criteria.

Configure, adapt, troubleshoot, and enhance military simulation systems to support wargaming, experimentation, analysis, training, and operational decision-making. Translate mission needs into executable scenarios, diagnose model behavior, manage configuration baselines, document assumptions and uncertainties, and work with stakeholders to report defects and recommend roadmap improvements while adhering to classification and data-handling rules.