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Agile Defense

Cybersecurity and IT services for government

Artificial Intelligence Subject Matter Expert - CBP

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeReston, VA, USA

About the Job

Requirements

  • At least 5 years of experience in machine learning, data science, or artificial intelligence engineering.
  • At least 2 years of focused experience with generative artificial intelligence and large language models.
  • Deep expertise in machine learning, deep learning, and statistical modeling.
  • Hands-on experience with large language model frameworks, vector databases, and prompt engineering.
  • Advanced Python proficiency and production-grade software development experience.
  • Experience with MLOps and cloud artificial intelligence platforms, including Azure AI, AWS Bedrock, or Google Vertex AI.
  • A proven track record of taking artificial intelligence solutions from proof of concept to production.
  • Experience assessing the cyber risk and functionality of artificial intelligence solutions.
  • Experience incorporating automation and artificial intelligence into cyber programs.
  • Experience with data analytics software such as Splunk, Cribl, Elastic, and Sentinel.
  • An active Top Secret clearance with Sensitive Compartmented Information eligibility, or the ability to obtain and maintain these requirements.
  • Ability to obtain and maintain a CBP Background Investigation and Entry on Duty determination.
  • U.S. citizenship is required.

Responsibilities

  • Design, test, and align artificial intelligence and machine learning models for reliable operation in a federal operational environment.
  • Validate model performance against real operational conditions rather than only against benchmark datasets.
  • Characterize model errors and their frequency instead of relying on a single accuracy metric.
  • Explain model behavior clearly to technical and nontechnical stakeholders.
  • Monitor model behavior after deployment.
  • Detect model drift and degraded performance before they affect operational outcomes.
  • Document and understand model failure modes before deployment.
  • Produce documentation and evidence for security or accreditation reviews through the normal development process.
  • Advise engineering teams early on what an artificial intelligence capability must satisfy to clear federal review.
  • Provide reviewers with clear explanations of what a model does and does not do.
  • Provide technical judgment on whether artificial intelligence is appropriate for a problem.
  • Establish and apply standards for evaluating and deploying models across projects.

Desired Qualifications

  • Open-source contributions or published artificial intelligence research.
  • Experience optimizing models for edge or low-latency environments.
  • Certifications in artificial intelligence ethics, responsible artificial intelligence, or cloud artificial intelligence architecture.
  • Familiarity with adversarial artificial intelligence testing and red-teaming.
  • Experience taking a machine learning model from prototype to a production system relied upon by real users.
  • Experience working in a regulated or federal environment where model decisions had to be explainable and defensible.
  • Experience identifying a model failure before it affected a consequential decision.
  • Experience across the model lifecycle, including data, training, validation, deployment, and monitoring.
  • An active CBP Background Investigation, a fitness determination at another Department of Homeland Security component, or an active Department of Defense clearance.
  • Ability to communicate a model's limitations as clearly as its capabilities.

About the Company

Agile Defense

Cybersecurity and IT services for government

Agile Defense provides IT and cybersecurity services to the U.S. Federal Government, including digital transformation, IT modernization, and a Virtual Security Operations Center (VSOC) to defend against cyber threats. Its services support national security and civilian missions across federal agencies, delivered through various contract vehicles. The company expands its capabilities through acquisitions (IntelliBridge and XOR Security) and focuses on AI-enabled workforce transformation and enterprise IT to enhance government operations. Unlike many suppliers, Agile Defense emphasizes a government-focused portfolio with a multidimensional VSOC and AI-driven workforce upgrades, positioning itself to meet federal security and modernization needs. The goal is to help federal agencies protect data and systems, modernize IT infrastructure, and improve cyber resilience across national security and civilian missions.

Company size
1,001-5,000
Company stage
Acquired
Total funding
Not listed
Headquarters
Reston, VA
Founded
1998

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