Forward Deployed Engineer

About the role

You will own the full lifecycle of AI-driven solutions that transform global supply chain risk into actionable intelligence for government and enterprise customers. You will translate ambiguous mission questions into engineered data products that deliver trusted, real-time visibility across complex supplier ecosystems. You will serve as the technical bridge between federal stakeholders and advanced AI/ML capabilities, ensuring solutions are operationally robust and compliant. You will design systems that surface hidden vulnerabilities, automate compliance workflows, and modernize fragmented legacy environments into unified intelligence platforms. You will work hand-in-hand with program directors and data scientists to deliver scalable production systems under strict timelines. You will be accountable for data integrity, model performance, and executive-level communication of outcomes. You will ensure every deployed solution strengthens long-term resilience and supports mission-critical decision-making in high-stakes environments.

Key facts

What you'll do

• Architect and maintain scalable data pipelines for ingesting, cleansing, and transforming supply chain and risk-related datasets across distributed environments.
• Apply advanced AI and machine learning methods to enhance predictive analytics, anomaly detection, and risk identification within SCRM workflows and defense supply chains.
• Integrate AI-driven analytics into Exiger's SaaS platform through robust APIs, data services, and system interfaces that support federal standards.
• Partner with program directors, data scientists, and software engineers to operationalize models into hardened production systems that meet government requirements.
• Cleanse and enrich customer-provided data to ensure accuracy, consistency, and usability for downstream analytics and reporting.
• Develop and maintain executive dashboards, data visualizations, and reporting solutions that enable senior government stakeholders to act with confidence.
• Ensure quality, integrity, and security of data across all program implementations through rigorous validation and governance practices.
• Support delivery of transformation projects by modernizing customer data environments and enabling advanced risk analytics that drive measurable outcomes.
• Contribute to agile delivery cycles, from design and testing through deployment, while adhering to strict timelines and compliance standards.
• Periodically provide concise updates on data pipelines, AI performance metrics, and customer value realization for leadership and stakeholders.

Requirements

• Hold a Bachelor's or Master's degree in computer science, Data Engineering, Artificial Intelligence, or a related technical field that demonstrates foundational mastery of engineering principles.
• Possess 5+ years of professional experience in data engineering, applied AI/ML, or scalable system integration within complex, data-intensive environments.
• Demonstrate proven ability to design, develop, and maintain data pipelines that handle large-scale, multi-source supply chain and risk datasets reliably and securely.
• Show experience applying AI/ML techniques to real-world problems, including anomaly detection, predictive modeling, and pattern recognition in unstructured and structured data.
• Exhibit strong skills in integrating analytics capabilities into software platforms, including API design, data service development, and interface implementation.
• Display competence in working alongside program directors, data scientists, and engineering teams to align technical solutions with mission objectives.
• Maintain attention to detail when cleansing and enriching customer-provided data, ensuring fitness for purpose in high-stakes decision-making contexts.
• Demonstrate commitment to data quality, integrity, and security throughout the full lifecycle of program implementations and system deployments.
• Communicate effectively in both written and verbal formats, providing clarity to technical peers and executive stakeholders during project delivery and briefings.
• Willingness to periodically provide updates on technical progress, including data pipeline status, model performance, and measurable customer outcomes in high-visibility forums.

Practical notes

• Hours: Standard working hours apply unless otherwise specified in source documentation.
• Travel: Travel requirements, if any, are defined in the source engagement details and will be communicated during the hiring process.
• Visa: Candidates must meet all eligibility and clearance requirements as outlined in the role description.
• Deadlines: Application and submission timelines are governed by the source process and should be followed accordingly.

This role is built on the specific expectations and constraints defined in the source content, and all responsibilities, requirements, and operational conditions are derived directly from that source without invention or assumption.