Forward Deployed Engineer

Who We Are:

Exiger transforms supply chains into a strategic advantage—advancing our mission to make the world a safer and more transparent place to succeed. Our AI platform, 1

Exiger, delivers instant visibility into complex supplier ecosystems, leveraging proprietary data and advanced AI to surface risk, automate compliance, and unlock efficiencies and cost savings to strengthen long‑term resilience. Trusted by 550+ global customers—including Fortune 500 companies and U.S. government agencies—Exiger is a recognized, award‑winning leader in supply chain AI and a FedRAMP authorized provider to the federal government.

Location: South Ogden, Utah

Work Environment: Hybrid

Clearance Required: Active TS/SCI

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.

• 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.

• Bachelor's or master's degree in computer science, Data Engineering, Artificial Intelligence, or related technical field.
• 5+ years of experience in data engineering, applied AI/ML, or scalable system integration.
• Demonstrated experience operationalizing AI models beyond experimentation.
• Ability to obtain and maintain a U.S. Government security clearance.
• Deep proficiency in Python and SQL, with experience designing scalable data architectures.
• Experience building and deploying AI/ML systems in production environments.
• Familiarity with cloud platforms (AWS, Snowflake, Redshift) and secure system integration.
• Ability…