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Expert Systems Engineer

Job in Fort Bragg, Cumberland County, North Carolina, 28307, USA
Listing for: CACI International Inc
Full Time position
Listed on 2026-11-04
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Systems Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 108900 - 239500 USD Yearly USD 108900.00 239500.00 YEAR
Job Description & How to Apply Below
## Expert Systems Engineer Fort Bragg, NC, USApply Now Find out how well you match with this jobJob :
334156

Job Title:

Expert Systems Engineer Job Category:
Engineering Time Type:
Full time Minimum Clearance Required to Start: TS/SCI Employee Type:
Regular Percentage of

Travel Required:

Up to 10%
Type of Travel:
Local *  *  *#

Position Overview We are seeking a passionate Expert Systems Engineer who thrives in a creative environment and applies nontraditional approaches to large-scale enterprise systems engineering in support of artificial intelligence, machine learning, and high-performance computing  this role, you will develop cross-cutting solutions that integrate and optimize disparate data sources, methods, and technologies. You will translate academic research and commercial best practices into sustainable analytic workflows, rapidly incorporate emerging capabilities, and design solutions that remain accessible to nontechnical users.

Your systems engineering expertise will help teams interpret complex data, identify relationships, anticipate outcomes, and produce actionable intelligence in support of America’s most elite forces.# What You’ll Do
* Work as part of a multidisciplinary team to solve critical operational challenges involving data analytics and mission support.
* Design, implement, and maintain high-performance computing environments for AI and machine learning applications.
* Optimize server, GPU, and supercomputing configurations for efficiency, scalability, reliability, and performance.
* Develop networking solutions that support high-throughput data processing and distributed workloads.
* Configure and manage storage systems to provide reliable, efficient data access and retrieval.
* Collaborate with data scientists and engineers to integrate AI and machine learning models into production environments.
* Monitor system performance, troubleshoot bottlenecks, and identify opportunities for continuous improvement.
* Evaluate advances in AI, machine learning, and high-performance computing and incorporate relevant capabilities into enterprise systems.#

Required Qualifications
* Active Top Secret security clearance with eligibility for access to Sensitive Compartmented Information (SCI).
* Bachelor’s degree in computer science, electrical engineering, or a related field and at least 10 years of professional experience; or at least 15 years of progressive systems engineering experience managing IT infrastructure and architecture in support of the Department of War (DoW) or Intelligence Community (IC).
* Demonstrated systems engineering experience with an emphasis on AI and machine learning optimization.
* Strong knowledge of server, storage, and supercomputing architectures.
* Expertise in networking protocols and high-performance computing environments.
* Experience with GPU optimization and parallel processing.
* Proficiency in storage configuration and management.
* Familiarity with AI and machine learning frameworks and libraries, such as Tensor Flow and PyTorch.
* Excellent problem-solving skills and attention to detail.
* Strong written and verbal communication and collaboration skills.
* Ability to obtain and maintain the applicable certification required under DoD 8140.# Desired Qualifications and Experience
* Master’s degree in computer science, electrical engineering, or a related field.
* Experience with cloud computing platforms, such as AWS, Microsoft Azure, or Google Cloud.
* Knowledge of containerization and orchestration technologies, such as Docker and Kubernetes.
* Experience with version control systems, such as Git.
* Strong knowledge of geographic information system (GIS) software and tools, such as ArcGIS, QGIS, and Geo Server.
* Experience with geospatial data formats,…
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