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Rivet Operations

Intermediate AI Engineer

Full-TimePosted on 10/3/2026Deadline 11/2/26
$126k - $136k/yr+ Retirement match
Senior
Bachelor's, Master's, Associate's
MCAS Cherry Point, Havelock, NC, USA
In Person
No H1B Sponsorship
US Citizenship, US Top Secret Clearance Required

About the job

Requirements
  • U.S. citizenship and the ability to maintain a Secret security clearance are required.
  • Candidates must qualify through one of these experience-and-education combinations: at least 7 years of general experience with an associate’s degree, at least 8 years with a bachelor’s degree, or at least 6 years with a master’s degree. Additional relevant experience may substitute for a degree.
  • Demonstrated experience designing, building, testing, and deploying machine learning models and AI applications.
  • Proficiency with Python and SQL, and with machine learning and artificial intelligence frameworks such as TensorFlow or PyTorch.
  • Experience designing, building, deploying, and maintaining AI systems and cloud environments on platforms such as AWS, GCP, or Microsoft Azure.
  • Experience automating cloud, infrastructure, data, and AI processes and supporting security compliance for AI, cloud, and virtualized environments.
  • Proficiency in Microsoft Office Suite.
  • Ability to meet the role’s physical requirements, including prolonged sitting or standing, computer use, bending, reaching, kneeling, moderate to long-distance walking when required, and lifting up to 40 pounds.
Responsibilities
  • Define, document, and lead the technical architecture for Aircraft Logistics Department software, AI/machine learning, and cloud systems; establish and enforce coding standards, development methodologies, and quality assurance processes.
  • Design, develop, train, and continuously improve machine learning models for predictive maintenance; perform advanced data engineering and feature extraction on large-scale datasets.
  • Architect, deploy, and maintain secure applications and infrastructure on government-owned infrastructure.
  • Design and implement continuous integration/continuous delivery pipelines, containerization, and infrastructure as code.
  • Integrate language models into existing software.
  • Enforce data privacy and conduct vulnerability patching in support of the Risk Management Framework.
  • Ensure AI tools and techniques are authorized under Department of Defense operational security policies and standards.
  • Support Risk Management Framework and Authorization to Operate processes for developed systems and serve as the primary technical point of contact for government stakeholders.
  • Mentor junior technical staff.

About the company

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