Lead Forward Deployed Engineer

Program Summary

Exiger is seeking a Lead Forward Deployed Engineer to expertly guide, direct, 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.

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 workflow orchestration in support of large-scale analytics environments.
• Demonstrated ability to bridge technical development and mission objectives, ensuring solutions are both feasible and impactful.
• Excellent communication skills with the ability to clearly convey technical concepts to non-technical audiences.
• U.S. Citizenship required.
• Able to obtain and retain a U.S. Government security clearance.

Qualifications - Preferred

• Prior experience in software development and artificial intelligence.
• Familiarity with supply chain risk management, industrial base analysis, or production sustainment data.
• Experience working with AI/LLM development workflows, including prompt engineering, fine-tuning, and model evaluation.
• Proven experience validating analytics outputs and data transformations within cloud data environments.
• Background in or exposure to mechanical, industrial, or systems engineering concepts as they relate to manufacturing feasibility and readiness analysis.

Why Join Exiger?

• Discretionary Time Off for all employees, with no maximum limits on time off.
• Industry-leading health, vision, and dental benefits.
• Competitive compensation package.
• 16 weeks of fully paid parental leave.
• Flexible, hybrid approach to working from home and in the office where applicable.
• Focus on wellness and employee health through stipends and dedicated wellness programming.
• Purposeful career development programs with reimbursement provided for educational certifications.
• Named a Leader in the Gartner® Magic Quadrant™ for Supplier Risk Management, twice selected as one of Fast Company's 'Brands That Matter,' and recipient of the Third Party Risk Association's Innovator Award.