AI/ML Solutions Architect
Radiance TechnologiesBeavercreek, Ohio, United States
Posted November 19, 2025
Full Time
About the Company
Radiance Technologies, Inc. is a 100% employee-owned prime contractor leading the way in developing government and commercial customer-focused solutions. Leveraging its record of technical innovation and operational expertise, Radiance Technologies offers: • Cyber Solutions, • Systems Engineering, • Technology Development, Production, Testing, and Evaluation, • Technology Application, • Intelligence Community Support, • Government Program Support, • And more, The company’s 1000+ employees in offices around the U.S. serve customers in the Department of Defense (DoD), National Aeronautics and Space Administration (NASA), the national intelligence community, the Department of Homeland Security (DHS), other government organizations, and selected commercial customers. Radiance Technologies continues to attract and retain talented motivated employees by being an employee-owned company – founded with the idea of providing an environment, a benefits package, and a stock ownership plan that are second to none. For more information, visit www.radiancetech.com.
Job Description
Radiance is seeking a highly skilled AI/ML Solutions Architect to lead the design, development, and deployment of advanced artificial intelligence and machine learning solutions supporting mission-critical government and national security programs.
Requirements
- Bachelor’s Degree in Computer Science, Engineering, Physics, Statistics, Mathematics or a related field
- 5+ years of professional experience in AI/ML engineering, data science, machine learning operations (MLOps), in cloud environments.
- U.S. citizenship and ability to obtain/maintain TS/SCI security clearance
- Demonstrated experience designing end-to-end AI/ML pipelines operating in classified environments (AWS C2S, Azure Government Secret)
- Hands-on experience with at least one major cloud-based AI/ML platform ( Azure Machine Learning, AWS SageMaker, or Kubeflow on Kubernetes)
- Proven background working with structured and unstructured data, feature engineering, and model lifecycle management.
- Experience collaborating with multidisciplinary technical teams and supporting customer-facing technical engagements.
Benefits
- EOE/Minorities/Females/Vet/Disabled