AI/ML Solutions Architect

Job Description:

Job Summary

We are 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. This role partners closely with data scientists, software engineers, cloud architects, and mission stakeholders to translate complex operational requirements into scalable, secure, and high-performance AI/ML architectures.

The ideal candidate combines deep technical expertise with a strategic mindset and has experience architecting end-to-end AI/ML solutions operating in classified cloud environments. This role spans the full ML lifecycle-from data ingestion and model training to deployment, monitoring, and governance-while ensuring compliance with DoD and Intelligence Community security standards. Strong communication skills, architectural leadership, and a commitment to secure, reliable mission outcomes are essential.

Key Responsibilities

• Architect and guide end-to-end AI/ML solutions in support of mission-critical programs
• Design, integrate, and optimize full-lifecycle ML pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring
• Ensure AI/ML systems meet federal security, compliance, and accreditation requirements
• Collaborate with cross-functional technical teams and mission stakeholders to align solutions with operational needs
• Evaluate emerging AI/ML technologies and develop technical roadmaps for long-term scalability and reliability
• Support customer-facing technical engagements and clearly communicate complex AI/ML concepts to diverse audiences

Required Experience

• Bachelors degree in Computer Science, Engineering, Physics, Statistics, Mathematics, or a related field
• 5+ years of professional experience in AI/ML engineering, data science, or MLOps within cloud environments
• U.S. citizenship with the ability to obtain and maintain a TS/SCI security clearance
• Demonstrated experience designing and operating end-to-end AI/ML pipelines in classified environments
• Experience operationalizing ML models and data pipelines across air-gapped, hybrid, and cloud infrastructures
• Hands-on experience with at least one major AI/ML platform (e.g., Azure Machine Learning, AWS SageMaker, Kubeflow on Kubernetes)
• Proven experience working with structured and unstructured data and managing the ML model lifecycle
• Experience collaborating with multidisciplinary teams and supporting mission stakeholders

Required Skills

• Deep knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and data tools (Spark, Pandas, Kafka)
• Strong understanding of AI/ML architecture patterns and MLOps practices, including CI/CD, deployment, monitoring, and governance
• Proficiency in Python for AI/ML development; familiarity with Java, Go, or C++ is a plus
• Expertise with cloud-native and container technologies (Kubernetes, Docker, serverless architectures)
• Understanding of cloud security principles, zero-trust architectures, and secure system design
• Ability to translate mission requirements into technical AI/ML architectures
• Excellent written and verbal communication skills, including briefing senior stakeholders

Desired Skills

• Active TS/SCI clearance
• Professional certifications such as cloud solutions architect or AI/ML specialty certifications
• Experience with advanced ML domains (e.g., federated learning, reinforcement learning, LLM fine-tuning, vector databases, retrieval-augmented generation)
• Familiarity with DoD and Intelligence Community data environments and RMF accreditation processes
• Understanding of secure data enclaves, cross-domain solutions, and zero-trust implementations
• Experience with model interpretability, bias mitigation, and Responsible AI practices

Working Place:

Beavercreek, Ohio, United States

Company :

2026 Jan 29th Virtual Fair - Radiance Technologies