Principal Artificial Intelligence/ Cloud Engineer

Rivet•Cherry Point, NC

1d•$126,000 - $136,000•Onsite

About The Position

Rivet Operations Company is seeking a Principal Artificial Intelligence (AI)/ Cloud Engineer to lead software, AI/machine learning (ML), and cloud initiatives at Marine Corps Air Station Cherry Point, North Carolina. This role is crucial for defining the technical architecture of AI/ML and cloud systems, modernizing legacy applications into secure, cloud-based solutions to enhance aircraft readiness. The Principal AI/Cloud Engineer will be responsible for documenting and guiding the technical architecture for all Aircraft Logistics Department (ALD) software, AI/ML, and cloud systems, while also establishing and enforcing coding standards, development methodologies, and quality assurance processes. Additionally, this position will manage the Risk Management Framework (RMF) and Authorization to Operate (ATO) processes for all developed systems and act as the main technical liaison with government stakeholders.

Requirements

U.S. citizenship and ability to maintain a Secret security clearance.
A minimum of 7 years’ general experience with an associate’s degree, OR a minimum of 8 years’ general experience with a bachelor’s degree, OR a minimum of 6 years’ general experience with a master’s degree. In lieu of a degree, candidates may qualify with an additional number of years of relevant experience.
Demonstrated experience designing, building, testing, and deploying machine learning models and AI applications.
Proficiency with programming and query languages (Python, SQL) and ML/AI frameworks (TensorFlow, PyTorch, or similar).
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; supporting security compliance for AI, cloud, and virtualized environments.
Experience mentoring junior technical staff.
Proficiency in Microsoft Office Suite.
Excellent verbal and written communication skills.

Responsibilities

Define, document, and lead the overall technical architecture for all ALD software, AI/ML, and cloud systems, and establish and enforce coding standards, development methodologies, and QA processes.
Design, develop, train, and continuously improve machine learning models for predictive maintenance, and 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 CI/CD pipelines, containerization, and infrastructure-as-code.
Integrate language models into existing software.
Enforce data privacy and conduct vulnerability patching when required, in support of the RMF.
Ensure AI tools and techniques are authorized under DoD operational security (OPSEC) policy and standards.