Skills this job asks for
Supply chainProcurementRisk managementMachine learningData engineeringAgileA/B testing
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Sponsorship verdict
Posting rules out sponsorship
The posting rules out sponsorship or requires citizenship or security clearance.
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Employer is on a government sponsor recordUSCIS Data Hub records 1 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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Security clearance mentionedFrom the posting’s own wording.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- USCIS Data Hub records 1 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it. Source: US Department of Labor visa filings (LCA) (US Department of Labor (OFLC), plus USCIS H-1B Employer Data Hub).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Before you apply
Requirement gap
The posting mentions a security clearance — usually restricted to citizens of that country.
These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →
About the role
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.
Senior Forward Deployed Engineer
Location: McLean, Virginia
Work Environment: Hybrid
Role Summary:
Exiger is transforming how governments and global enterprises manage supply chain, defense, and geopolitical risk. Our AI-powered platform equips the world’s most important institutions with the intelligence they need to protect critical infrastructure, secure national interests, and make data-driven operational decisions.
From identifying counterfeit parts in defense supply chains to anticipating geopolitical risk exposure, Exiger enables mission owners to act with clarity and confidence in complex, high-stakes environments.
Forward Deployed AI Engineers work directly with government and defense customers to understand their most complex operational challenges and design and implement AI-driven solutions to solve them.
Our customers rely on Exiger’s platform to support mission-critical operations — often beginning with open-ended questions such as:
• “Where are vulnerabilities hidden in our supply chain?”
• “How can we proactively detect and mitigate risk before it impacts readiness?”
• “How do we modernize fragmented legacy systems into a unified intelligence capability?”
As a Forward Deployed AI Engineer, you will combine engineering depth, AI/ML expertise, and mission understanding to deliver scalable, production-grade solutions that drive measurable real-world impact.
You will operate at the intersection of engineering, data science, and mission delivery — embedded alongside customer stakeholders and internal teams. Working in small, high-trust teams, you will own projects end-to-end — from architecture and data ingestion through model deployment, integration, and executive-level briefings.
You will not just build models — you will ensure they function reliably in production, under real-world operational constraints.
What You'll Do:
• Design, implement, and maintain scalable data pipelines for ingesting, cleansing, and transforming supply chain and risk-related datasets.
• Apply AI/ML methods to enhance predictive analytics, anomaly detection, and risk identification within SCRM workflows.
• Integrate AI-driven analytics into Exiger’s SaaS platform through APIs, data services, and system interfaces.
• Partner with program directors, data scientists, and software engineers to operationalize models into production systems.
• Cleanse and enrich customer provided data.
• Develop and maintain dashboards, data visualizations, and reporting solutions to enable decision-making by senior government stakeholders.
• Ensure quality, integrity, and security of data across all program implementations.
• Support delivery of transformation projects by modernizing customer data environments and enabling advanced risk analytics.
• Contribute to agile delivery cycles, from design and testing through deployment.
• Periodically provide updates on data pipelines, AI performance metrics, and customer value realization.
What You Need:
• Bachelor’s or master’s degree in computer science, Data Engineering, Artificial Intelligence, or related technical field.
• 5+ years of experience in data engine
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