Posted today
Dept of Homeland Security
$104,000 - $166,000
Unspecified
Ashburn, VA (On-Site/Office)
About Peraton
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Program Overview
About The Role
U.S. Customs and Border Protection (CBP) is seeking an AI Operations (AIOps) Engineer to build and operate secure, scalable, and mission-ready AI/ML and LLM systems in production activities in support of the CBP analytics and intelligence support program.
This role ensures reliable deployment, monitoring, governance, and continuous improvement of enterprise AI platforms supporting mission-critical analytics and decision support.
The ideal candidate brings strong reliability engineering, AI/ML operational expertise, security and compliance awareness, cost optimization discipline, and the ability to collaborate across technical and mission teams in a high-assurance federal environment.
Support will be provided across multiple mission locations:
AI Platform Engineering
Qualifications
Required Qualifications
SCA / Union / Intern Rate or Range
Details
Target Salary Range: $104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
Application Duration Statement: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
EEO:Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Program Overview
About The Role
U.S. Customs and Border Protection (CBP) is seeking an AI Operations (AIOps) Engineer to build and operate secure, scalable, and mission-ready AI/ML and LLM systems in production activities in support of the CBP analytics and intelligence support program.
This role ensures reliable deployment, monitoring, governance, and continuous improvement of enterprise AI platforms supporting mission-critical analytics and decision support.
The ideal candidate brings strong reliability engineering, AI/ML operational expertise, security and compliance awareness, cost optimization discipline, and the ability to collaborate across technical and mission teams in a high-assurance federal environment.
Support will be provided across multiple mission locations:
- Ashburn, VA
- Sterling, VA
- Washington, D.C.
AI Platform Engineering
- Design and operate cloud and on-prem AI/ML platforms supporting model training, batch scoring, real-time inference, and RAG-based LLM applications.
- Deploy containerized workloads to Kubernetes and manage high availability, autoscaling, and release strategies.
- Integrate model serving frameworks and feature stores to support scalable production inference.
- Build and maintain CI/CD pipelines for code, data, and models.
- Implement model versioning, registries, promotion gates, and environment parity.
- Develop reproducible training and deployment workflows using infrastructure-as-code and orchestration tools.
- Implement monitoring for system health, model performance, and model quality (including drift and bias indicators).
- Define and manage SLOs/SLAs and participate in incident response for AI services.
- Develop playbooks to address outages, regressions, and quality degradation.
- Operate LLM applications and RAG pipelines.
- Manage vector databases and evaluation frameworks.
- Implement AI safety controls, including prompt validation, content filtering, PII protection, and performance evaluation.
- Optimize inference efficiency and infrastructure utilization.
- Enforce authentication, authorization, encryption, and secrets management best practices.
- Implement controls supporting PII protection, audit logging, and data governance.
- Align AI operations with NIST AI RMF, ISO 27001, SOC 2, and DHS/CBP security policies.
- Support Responsible AI practices including bias testing, explainability, and human oversight.
- Monitor and optimize compute (GPU/CPU), storage, and network utilization.
- Implement autoscaling and cost-efficient infrastructure strategies.
- Provide visibility into per-model costs and capacity planning.
- Partner with data scientists and ML engineers to productionize models.
- Develop reusable templates, documentation, and operational runbooks.
- Translate mission and compliance requirements into technical platform capabilities.
Qualifications
Required Qualifications
- Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA. 12 years with a HS diploma/equivalent can be considered in lieu of a degree.
- 5+ years of experience in SRE, DevOps, Platform Engineering, or ML Engineering supporting production systems.
- Hands-on experience with:
- Kubernetes and containerization
- Cloud platforms (AWS, Azure, or GCP)
- CI/CD and observability tooling
- Proficiency in Python (and/or Java/Go).
- Working knowledge of MLOps and LLMOps practices.
- Strong understanding of security, IAM/RBAC, encryption, and AI data governance.
- Active Top Secret clearance
- Ability to obtain and maintain required CBP BI suitability
- U.S. Citizenship required.
- Bachelor's degree in computer science, Engineering, or related field (preferred).
- Experience with ML platforms (MLflow, Kubeflow, SageMaker, Azure ML, Vertex AI).
- Familiarity with data quality and orchestration tools.
- Experience with GPU orchestration and distributed processing.
- Certifications (Cloud, CKA/CKAD, Security+).
- Experience in regulated or federal environments.
SCA / Union / Intern Rate or Range
Details
Target Salary Range: $104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
Application Duration Statement: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
EEO:Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
group id: 91005870
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