Build and operate enterprise AI infrastructure, pipelines, and control-plane guardrails enabling secure, governed, mission-scale AI deployment. This role directly impacts how the command adopts AI safely at scale with visible mission outcomes.
What you'll do
- Design, implement, and maintain robust infrastructure for enterprise AI applications across cloud (AWS, Azure) and on-prem/air-gapped/classified environments
- Architect and manage CI/CD pipelines for continuous integration and delivery of AI models, agents, and applications
- Implement containerization (Docker) and orchestration (Kubernetes) solutions with control-plane guardrails including identity, policy enforcement, approvals, audit/logging, and observability
- Provide embedded operations support, capability integration, and rapid prototyping for AI-enabled tools in support of customer missions
- Oversee AI model and agent lifecycle management including versioning, monitoring, scaling, and performance optimization
- Support security accreditation (RMF/ATO) processes for AI systems and ensure system security and scalability
- Collaborate with AI/ML engineers and data scientists to streamline deployment processes and optimize resource utilization
Mission
Supporting a DoD customer standing up an AI Enterprise capability—a central hub for mission teams transitioning AI solutions from prototype to secure, governed, enterprise-scale service. The role encompasses both cloud (AWS, Azure) and on-premises/air-gapped/classified environments.
Required skills
- DevOps principles and practices
- Docker containerization
- Kubernetes orchestration
- CI/CD pipeline architecture and management
- AI model lifecycle management
- Cloud infrastructure (AWS or Azure)
- Infrastructure as code
- System security and scalability management