Lead Forward Deployed Engineer

Who We Are: Exiger is the AI partner for supply chain and procurement automation. Its centralized 1EXIGER.AI platform allows organizations to manage their entire operating network, from parts to suppliers, regulators, and customers, through an autonomous agentic workforce that learns, adapts, and augments with every decision. The AI-native platform, combined with the largest supply chain knowledge asset, empowers 550+ global customers, including 150 Fortune 500 and 80+ government and defense industrial organizations, to act first. Exiger is FedRAMP® authorized and a 2x Leader in Gartner® Magic Quadrant™ for Supplier Risk Management. Lead Forward Deployed Engineer – Defense Supply Chain Risk Programs Location: Huntsville, Alabama (Hybrid Position) Department: Federal Programs Type: Full-Time Program Summary Exiger is seeking a Lead Forward Deployed Engineer to expert guidance, direction, and organize the delivery of solutions and scale delivery of advanced analytics and AI-enabled capabilities supporting Army sustainment and supply chain risk management programs. This role drives the end-to-end execution of data-driven solutions—including AI/LLMs, data pipelines, and risk models—that enhance visibility, resilience, and readiness across the defense industrial base. The Lead Forward Deployed Engineer will operate at the intersection of program leadership, data engineering, and sustainment operations. The successful candidate will collaborate closely with engineers, data scientists, and Army stakeholders to translate mission requirements into scalable, technically sound analytics workflows that directly inform risk mitigation and acquisition decisions across Army portfolios. Key Responsibilities • Lead and manage a team of engineers developing for analytics and AI-driven solutions supporting Army sustainment, acquisition, and supply chain risk management missions. • Direct the development and deployment of databases, data pipelines, risk models, mitigation strategies, and analytic workflows to identify and mitigate systemic supply chain vulnerabilities. • Drive program execution by defining technical methodologies, prioritizing development milestones, and managing delivery of mission-ready analytical capabilities. • Translate complex sustainment and acquisition requirements into actionable tasks for engineering and data science teams. • Oversee QA/QC for data and model outputs, ensuring results are technically valid, reproducible, and operationally relevant to Army decision-makers. • Provide technical oversight of analytics integration into sustainment workflows, ensuring compliance with Army policy and information assurance standards. • Collaborate with cross-functional teams—including engineers, product research analysts, and industrial base experts—to deliver measurable mission impact. • Facilitate coordination between technical teams, program leadership, and Army stakeholders, ensuring program transparency, accountability, and timely reporting. Qualifications – Required • 10+ years of experience in front-end, back-end, or full-stack software development leading data analytics, AI/ML, or risk management programs for federal or defense customers. • Proven record of managing AI- and data-driven programs supporting defense sustainment, logistics, or acquisition missions. • Intermediate to advanced proficiency in Python, including hands-on experience with data manipulation, validation, and analytics (e.g., pandas, NumPy, or similar libraries). • Strong SQL skills, capable of writing and optimizing queries for large, complex datasets. • Hands-on experience with Snowflake for querying, data validation, and analytics — active Snowflake user strongly preferred. • Familiarity with data pipelines, ETL processes, and w