AI Platform Engineer

Share this job as a link in your status update to Linked In.

VAE, Inc. is a full service IT Infrastructure Solutions Company focused on building, securing and supporting our clients’ mission critical enterprises. We provide a distinctive array of design, integration and implementation services as well as fully managed service offerings. VAE is at the forefront of leveraging multi-tenant capable technologies and shared IT services to create secure, reliable and cost-effective end-to-end services and solutions.

We deliver exceptional infrastructure solutions with extremely talented employees using a client-focused partnering approach.

Full-time

VA US (Primary)

VAE, Inc. is seeking an AI Platform Engineer to own the technical accreditation strategy and cloud runtime for the C5

ISR program's agentic AI platform. This role sits at the intersection of platform engineering, Dev Sec Ops , and security accreditation, serving as the primary technical interface to security engineering, ISSO/ISSM, and authorizing official staff. The ideal candidate combines deep AWS Gov Cloud/Kubernetes platform experience with hands-on experience carrying a system through formal ATO or cATO accreditation.

• Own the technical accreditation strategy for the program's agentic AI platform, including the control approach for model, tool, and agent-to-agent behavior.
• Author and maintain the technical artifacts supporting the ATO and cATO package: control narratives, architecture and data flow documentation, boundary definitions, POA&M inputs, and scan evidence.
• Serve as the primary technical interface to security engineering, ISSO/ISSM, and authorizing official staff, translating agentic AI architecture into terms that support an authorization decision.
• Design, build, and operate the cloud runtime that agentic AI workloads deploy onto in AWS Gov Cloud at IL5, including Kubernetes deployment, scaling, observability, and failure recovery.
• Implement and maintain CI/CD pipelines and infrastructure as code (Terraform, Cloud Formation, or comparable) using Platform One and Dev Sec Ops  tooling, including container hardening and image accreditation.
• Integrate Amazon Bedrock and other authorized model endpoints, managing IAM, service quotas, network boundaries, and data flow controls.
• Instrument agent and tool traffic for logging, tracing, cost attribution, and audit so that automated activity remains observable, attributable, and distinguishable from anomalous behavior.
• Apply best practices for MLOps, including model and prompt versioning, deployment gating, monitoring, and rollback.
• Mentor engineers on accreditable design patterns and secure development practices.
• Develop and execute the platform technical roadmap tied to program and business objectives.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, Mathematics, or a related field.
• 8+ years of hands-on experience in cloud, platform, Dev Ops, or MLOps engineering.
• Active Secret clearance, with the ability to obtain and maintain a Top Secret clearance.
• An active DOD 8570 certification required
• Demonstrated experience taking a system through a formal security accreditation, including authoring or substantially contributing to control documentation and interfacing directly with security and authorization stakeholders.
• Hands-on experience operating in a DoD or federal accredited cloud environment (IL4/IL5, FedRAMP Moderate/High, or comparable).
• Proficiency in Python and in at least one infrastructure as code technology.
• Hands-on experience with AWS, container technologies (Docker), and Kubernetes in operational deployments.
• Demonstrated experience building and maintaining CI/CD…