AI Engineer – Senior System Integrator

Join our dynamic team at 3 Reasons Consulting, where culture fuels excellence and talent thrives. Our community of top-tier professionals is dedicated to shaping the forefront of cybersecurity innnovation.

Location: San Diego, CA

Job :443

# of Openings:0

Location:San Diego, CA
Company:3 Reasons Consulting (3RC)
Customer:Naval Health Research Center (NHRC)
Employment Type:Full-Time On-site
Clearance:Active Secret Clearancerequiredbased on contract requirements

3 Reasons Consulting (3RC) is a growing government consulting and technology services firm supporting federal and Department of Defense customers with mission-critical technology, cybersecurity, artificial intelligence, data,and modernization initiatives.

3RC is seeking an
AI Engineer / Senior System Integrator
to support the
Naval Health Research Center (NHRC)in San Diego, CA. This role will help integrate advanced AI capabilities into secure, enterprise environments supporting Navy research and mission applications.

The Senior AI Engineer – System Integrator will serve as a technical bridge between AI/ML development, infrastructure, software engineering, data engineering, cybersecurity, and mission stakeholders. The successful candidate willbe responsible for integrating AI capabilities into operational environments and ensuring that AI/ML solutions can be securely deployed,monitored, maintained, and scaled.

This is a hands-on engineering position for an experienced technologist who understands both AI/ML systems and the infrastructurerequiredto operationalize them.

• Design, integrate, deploy, andmaintainAI/ML capabilities within enterprise and mission environments.
• Translate AI/ML requirements into scalable technical architectures and integration solutions.
• Integrate machine learning models, data pipelines, APIs, applications, and infrastructure into production environments.
• Support the transition of AI/ML prototypes and research efforts into reliable operational capabilities.
• Evaluate emerging AI technologies and recommend solutions aligned with mission and technical requirements.
• Troubleshoot complex integration issues across AI applications,infrastructure, data, networking, and security components.
• Support the development and implementation ofMLOpspipelines for model development, testing, deployment, monitoring, and lifecycle management.
• Automate model deployment and operational workflows using modern
  
  Dev Sec Ops practices .
• Implement version control, model versioning, automated testing, and reproducible deployment processes.
• Monitor model and system performance and support model lifecycle management.
• Integrate AI/ML workloads with containerized and cloud or hybrid infrastructure.
• Support deployment of AI workloads using Kubernetes and container technologies.
• Develop andmaintaintechnical architectures supporting AI-enabled applications.
• Integrate AI services with existing enterprise systems, applications, databases, APIs, and infrastructure.
• Evaluate system dependencies, interfaces, data flows, and performance requirements.
• Develop andmaintainsystem integration documentation,architecture diagrams, interface specifications, and technical procedures.
• Support system testing, integration testing, performance testing, and production deployment.
• Identify integration risks and develop mitigation strategies.

• Work with data engineers and AI/ML teams to support data ingestion, processing, transformation, and availability.
• Integrate AI workloads with structured and unstructured data sources.
• Support scalable compute, storage, networking, and GPU infrastructurerequiredfor AI workloads.
• Optimize AI/ML environments for performance, scalability, reliability, and resource utilization.
• Support data and model pipelines across development, test, and production environments.

• Integrate AI/ML capabilities into secure CI/CD andDev Sec Ops pipelines .
• Automate infrastructure provisioning, configuration, testing, and deployment.
• Utilize Infrastructure as Code and configuration-management practices.
• Implement automated security, vulnerability, and compliance checks throughout the development lifecycle.
• Collaborate with
  
  Dev Sec Ops engineers  toestablishrepeatable and secure deployment processes.

• Ensure AI/ML systems and supporting infrastructure comply with applicable DoD cybersecurity requirements.
• Support Risk Management Framework (RMF), NIST 800-53, DISA…