Platform Engineer (Cloud-Native AI/ML Systems Integration)

Job description

Platform Engineer (Cloud-Native AI/ML Systems Integration) Location: Dayton, OH (preferred) | Remote Eligible (CAC Access Required) Clearance: TS/SCI Preferred Build the Infrastructure That Makes AI Mission-Ready This is not a typical engineering role. As a Platform Engineer, you will design and operate the infrastructure that enables AI/ML systems to function in real-world mission environments. Your work will directly support Air Force / NASIC-aligned programs, where performance, security, and reliability are non-negotiable. You won’t just build platforms: you’ll bridge the gap between AI development and operational deployment, ensuring systems scale, integrate, and perform under real constraints. What You’ll Do: - Architect and operate Kubernetes-based platforms supporting AI/ML workloads - Build and manage containerized environments (Docker, Helm, OCI) for scalable deployment - Design and optimize data pipelines for ingestion, transformation, and model lifecycle support - Integrate AI/ML services into secure, mission-critical systems - Develop Infrastructure as Code (Terraform, Ansible) for repeatable, compliant environments - Build and enhance CI/CD pipelines (GitLab, Jenkins,...