AI Engineer – Decision & Optimization Systems

About this role

Gallatin seeks an AI Engineer to design and deploy feasibility and constraint systems that validate AI-generated logistics plans against policy, authority, and operational rules before execution. You'll bridge AI reasoning and real-world decision-making for national security logistics operations, ensuring plans are auditable, enforceable, and compliant.

What you'll do

• Design and implement feasibility models that encode command hierarchy, authority limits, and policy rules into formal constraints
• Build a centralized constraint framework for optimization and planning systems covering authority, compatibility, timing, and asset availability
• Own data validation pipelines and contracts to ensure robust constraint enforcement with incomplete or noisy operational data
• Integrate feasibility checks into real-time and batch planning pipelines alongside optimization and execution teams
• Create diagnostics and explainability layers so humans and systems understand why plans pass or fail validation
• Validate system behavior through scenario testing, simulations, and operational feedback from end users

What they're looking for

• Python, Java, Go, or C++
• Constraint-based or rule-based systems in production
• Linear and mixed-integer programming
• Optimization solvers (Gurobi, CPLEX, OR-Tools, Pyomo, AMPL)
• Integrating AI/agent outputs into deterministic decision pipelines
• Systems thinking and failure analysis
• Data validation and pipeline design
• Operations research or applied mathematics background