Jobs at Gallatin AI, Inc.

Own customer accounts and success plans from onboarding through adoption, lead cross-functional teams delivering AI and machine learning solutions, manage customer relationships and contracts, coordinate internal resources and subcontractors, and resolve issues. The role requires strategic communication, analytics-driven problem solving, logistics or sustainment experience, enterprise systems familiarity, security-clearance eligibility, and at least 50% travel.

Build, deploy, and operate AI/ML models, scalable MLOps pipelines, and real-time inference systems. Collect and process diverse data sources, improve training data quality, monitor model reliability and drift, and validate AI features with real-world users. The role also involves documenting best practices, mentoring teammates, and staying current with emerging AI technologies, LLMs, security risks, and model-development techniques.

Design, build, and scale reliable backend services, APIs, data pipelines, and integrations for an AI-driven logistics platform. Responsibilities include system architecture, database optimization, cloud deployment, container orchestration, monitoring, testing, documentation, code reviews, and cross-functional collaboration. The role also supports platform reliability, continuous improvement, and mentoring while contributing to national security and logistics missions.

Manages strategic customer relationships, onboarding, implementations, and long-term account health for AI/ML solutions. Leads cross-functional project teams, coordinates delivery within budget and schedule, resolves customer issues, and supports renewals and upsell opportunities. The role combines customer success, technical project management, analytics-driven problem solving, and delivery process improvement for logistics and government customers. Requires significant travel, logistics experience, and an active or attainable Top Secret clearance.

Own the technical side of complex enterprise and government sales cycles. Conduct technical discovery, translate mission needs into solution concepts, lead tailored software demonstrations, address architecture and integration questions, develop technical proposal content, qualify opportunities, and connect customer feedback with Product and Engineering. The role supports AI-enabled logistics software for defense and national security customers and requires customer-facing technical expertise, strong communication, active clearance, U.S. citizenship, and travel up to 25%.

Build AI-driven decision and optimization systems that enforce feasibility, authority, policy, safety, timing, compatibility, and asset constraints. Develop deterministic constraint frameworks, validate operational data, integrate checks into real-time and batch planning pipelines, and provide explainable diagnostics for infeasible plans. Partner with routing, optimization, AI-agent, and execution teams to ensure logistics actions are auditable, policy-compliant, and operationally realistic in high-stakes defense and disaster-response environments.

Build production AI and optimization systems for logistics allocation and packing. Develop heuristics and exact methods, encode physical constraints, maintain data inputs, integrate outputs into routing and resupply workflows, and validate solutions for feasibility, performance, and explainability. The role requires strong Python or equivalent programming, operations research or applied mathematics expertise, and experience with packing, allocation, optimization, and large-scale operational systems. U.S. citizenship and ability to obtain a government security clearance are required.

Build and own internal AI systems from prototype through production, including agents, workflow integrations, document assistants, and CRM tools. Translate workflow problems into technical requirements, develop reliable applications, implement evaluations and observability, design security and human review controls, deploy services, and improve systems using failure data. Collaborate directly with nontechnical colleagues and document solutions for maintainability.

Create user interfaces and experiences for military logistics applications. Develop wireframes and high-fidelity prototypes, conduct user research and usability testing, support visual design systems, collaborate with engineering, participate in design reviews, contribute to product strategy, and document design decisions.

Build and operate production ML infrastructure across cloud, on-premises, GPU, edge, and disconnected environments. Own model training and serving, CI/CD, reproducibility, evaluation, observability, data pipelines, retrieval systems, and secure IL5/IL6 deployments. Support accreditation and classified environments while improving reliability, quality, and performance of LLM and ML systems.

Own full-cycle recruiting across technical and operational roles, including sourcing, pipeline development, candidate experience, hiring manager partnership, offer negotiation, and closing. Build scalable recruiting processes, represent Gallatin at industry events, manage multiple requisitions, and use AI to improve sourcing and recruiting operations. The role may involve recruiting for AI, defense, national security, and cleared positions.

Own and scale Gallatin’s endpoint, identity, SaaS, security, compliance, and office IT systems. Manage macOS, Windows, and mobile environments using Jamf Pro, Intune, Google Workspace, Okta, and Microsoft 365 GCC High. Automate provisioning, access lifecycle workflows, patching, compliance, and audit evidence. Troubleshoot complex systems issues, support employees, document processes, and establish secure controls aligned with CMMC and NIST 800-171. The role requires broad ownership and independent delivery in a small, fast-moving team.

Lead mission-aligned growth in defense, federal, and commercial logistics by identifying opportunities, developing account and capture plans, conducting customer discovery, shaping solicitations, supporting proposals, and translating operational needs into product and partner requirements. Build pipeline, maintain stakeholder relationships, coordinate partners, and ensure product positioning aligns with mission workflows and acquisition realities.

Own technical delivery for defense customers: integrate Navigator with existing logistics systems, build and optimize data pipelines, create onboarding playbooks and tooling, troubleshoot escalations, and feed customer needs into product roadmap while representing Gallatin on-site and at reviews.

Design and ship interfaces for complex military logistics and AI systems. Conduct user research, prototype rapidly, collaborate with product and engineering teams, develop design systems, participate in design reviews, document specifications, and support product strategy. The role emphasizes human factors, information-dense interfaces, systems thinking, and designing for simulated and physical operational environments.

As a Fullstack Engineer, you will build and deliver features, design data models, collaborate with teams, and enhance CI/CD processes to improve logistics decisions for national security missions.

The Senior Frontend Engineer will develop and enhance the Navigator platform using Vue.js, improve user experience, maintain CI/CD workflows, and collaborate with cross-functional teams.

Design, build, and operate secure, production infrastructure spanning cloud-native and air-gapped edge deployments. Own Kubernetes multi-cluster operations, hardened artifact pipelines, monitoring/incident response, and embed security and compliance (STIGs, CVE remediation, FedRAMP/JWICS) into platform delivery while collaborating across product, engineering, and GRC.

Operate and harden production logistics decision systems for classified and cloud environments. Own availability, monitoring, incident response, CI/CD and IaC automation, and compliance (RMF/STIG/ATO). Partner with engineers and government stakeholders, document runbooks, and support deployments in air-gapped and multi-cloud environments while traveling frequently to customer sites.