Senior AI Platform DevOps Engineer

Agile Defense, Inc.; Annapolis (MD); On-site; USD 140,000 - 210,000; Full time

Job summary

Agile Defense, Inc. seeks a Senior Platform DevOps Engineer to stand up and operate secure AI enterprise infrastructure across cloud and on‑prem environments. You will build pipelines, guardrails, and scalable platforms enabling rapid, safe AI development and deployment for mission needs.

The role requires deep expertise in Docker, Kubernetes, CI/CD, and RMF/ATO readiness, with hands‑on experience across AWS and Azure, plus strong collaboration with AI/ML teams.

Qualifications

• Bachelor’s degree in a technical field with 10+ years of experience or Master’s degree with 8+ years of experience.
• Advanced proficiency in DevOps principles and practices.
• Demonstrated expertise in containerization using Docker and Kubernetes.
• Proven experience in architecting and managing CI/CD pipelines.
• Extensive experience with AI model lifecycle management and maintenance.
• Active TS/SCI clearance w/ Poly.

Responsibilities

• Provide embedded operations support, capability integration, and rapid prototyping for AI-enabled tools in support of our customer.
• Design, implement, and maintain robust infrastructure for enterprise AI applications in cloud environments (AWS, Microsoft Azure) and on-prem/air-gapped/classified environments.
• Develop and optimize engineering workflows and processes to support AI model and agent development, deployment, and maintenance.
• Architect and manage CI/CD pipelines for continuous integration and continuous delivery of AI models, agents, and applications.
• Implement and manage containerization and orchestration solutions using Docker and Kubernetes, and build and maintain control-plane guardrails — identity, policy enforcement, approvals, audit/logging, and observability.
• Ensure efficient AI model and agent lifecycle management, including versioning, monitoring, and scaling.
• Collaborate with AI/ML engineers and data scientists to streamline deployment processes and optimize resource utilization.
• Oversee system performance, security, and scalability of AI infrastructure, and support security accreditation (RMF/ATO) of AI systems.
• Continuously research and implement new DevOps tools and practices to enhance efficiency.

Skills

DevOps

Docker

Kubernetes

CI/CD

AI model lifecycle

Cloud platforms

RMF/ATO readiness

Monitoring & logging

Infrastructure as code

Communication

Education

Bachelor's degree in a relevant technical field

Master's degree in a relevant technical field

Tools

Docker

Kubernetes

Terraform

Ansible

Prometheus

Grafana

ELK stack

Job description

Agile Defense, Inc. seeks a Senior Platform DevOps Engineer to stand up and operate secure AI enterprise infrastructure across cloud and on‑prem environments. You will build pipelines, guardrails, and scalable platforms enabling rapid, safe AI development and deployment for mission needs.

The role requires deep expertise in Docker, Kubernetes, CI/CD, and RMF/ATO readiness, with hands‑on experience across AWS and Azure, plus strong collaboration with AI/ML teams.