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Exiger

AI-driven supply chain risk platform

Lead Forward Deployed Engineer

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeHuntsville, AL, USANo salary listed

About the Job

Requirements

  • At least 10 years of experience in front-end, back-end, or full-stack software development leading data analytics, artificial intelligence/machine learning, or risk management programs for federal or defense customers.
  • A proven record of managing artificial-intelligence- and data-driven programs supporting defense sustainment, logistics, or acquisition missions.
  • Intermediate to advanced proficiency in Python, including hands-on data manipulation, validation, and analytics using pandas, NumPy, or similar libraries.
  • Strong SQL skills, including writing and optimizing queries for large, complex datasets.
  • Hands-on experience with Snowflake for querying, data validation, and analytics.
  • Familiarity with data pipelines, extract-transform-load processes, and workflow orchestration in large-scale analytics environments.
  • Ability to bridge technical development and mission objectives, ensuring solutions are feasible and impactful.
  • Ability to clearly convey technical concepts to non-technical audiences.
  • U.S. citizenship is required.
  • Ability to obtain and retain a U.S. Government security clearance.

Responsibilities

  • Lead and manage a team of engineers developing analytics and artificial-intelligence-driven solutions supporting Army sustainment, acquisition, and supply chain risk management missions.
  • Direct development and deployment of databases, data pipelines, risk models, mitigation strategies, and analytical 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 quality assurance and quality control 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 engineers, product research analysts, industrial base experts, and other cross-functional teams to deliver measurable mission impact.
  • Coordinate between technical teams, program leadership, and Army stakeholders to ensure program transparency, accountability, and timely reporting.

Desired Qualifications

  • Active use of Snowflake is strongly preferred.
  • Prior experience in software development and artificial intelligence.
  • Familiarity with supply chain risk management, industrial base analysis, or production sustainment data.
  • Experience with artificial intelligence/large language model development workflows, including prompt engineering, fine-tuning, and model evaluation.
  • Experience validating analytics outputs and data transformations within cloud data environments.
  • Background in or exposure to mechanical, industrial, or systems engineering concepts related to manufacturing feasibility and readiness analysis.

About the Company

Exiger

AI-driven supply chain risk platform

Exiger provides supply chain risk and resilience software, offering the 1Exiger platform to give organizations end-to-end visibility into risk across their third-party and supplier networks, down to the nth tier. The platform uses AI to screen for sanctions and adverse media, assess third-party risk, and automate due diligence for banks, government agencies, defense contractors, and Fortune 500 companies, producing auditable decision records. Exiger differentiates itself with proprietary data assets and an AI-native approach focused on comprehensive third-party risk management and supply chain transparency, supported by strategic acquisitions and large investments. Its goal is to help organizations manage supplier risk and financial crime exposure while enabling trustworthy, auditable decisions across complex networks.

Company size
501-1,000
Company stage
Acquired
Total funding
$112M
Headquarters
New York City, New York
Founded
2013

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