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Exiger is seeking a Lead Forward Deployed Engineer to lead a team of engineers developing analytics and AI-driven solutions supporting Army sustainment, acquisition, and supply chain risk management missions. This hybrid role is based in Huntsville, Alabama and reports to the Federal Programs department.
You will operate at the intersection of program leadership, data engineering, and sustainment operations. Key responsibilities include:
• Lead and manage a team of engineers developing analytics and AI-driven solutions for Army sustainment and supply chain risk management.
• Direct development and deployment of databases, data pipelines, risk models, and analytic workflows to identify and mitigate supply chain vulnerabilities.
• Drive program execution by defining technical methodologies, prioritizing 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 technical validity, reproducibility, and operational relevance 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.
• Facilitate coordination between technical teams, program leadership, and Army stakeholders.
Required qualifications: 10+ years 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 managing AI and data-driven programs supporting defense sustainment, logistics, or acquisition missions. Intermediate to advanced Python proficiency (pandas, NumPy). Strong SQL skills. Hands-on Snowflake experience. Familiarity with data pipelines, ETL processes, and workflow orchestration. Ability to bridge technical development and mission objectives. Excellent communication skills. U.S. citizenship required. Ability to obtain and retain a U.S. Government security clearance.
Preferred: Software development and AI experience. Supply chain risk management or industrial base analysis background. AI/LLM development workflows (prompt engineering, fine-tuning, model evaluation). Experience validating analytics outputs in cloud data environments. Background in mechanical, industrial, or systems engineering.
