Secure AI Platform Engineer (TS/SCI)

Gormat

Maryland

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Gormat is seeking an experienced DevOps/platform engineer to own end-to-end infrastructure for AI deployment in a high-security, national-mission environment. You will architect and operate scalable cloud and on-prem AI platforms, implement robust CI/CD, and enforce security guardrails.

You will collaborate with AI/ML teams to optimize resource usage, maintain RMF/ATO readiness, and continuously adopt new DevOps practices to support enterprise AI delivery.

Qualifications

  • Bachelor's degree with 10+ years of experience, or Master's with 8+ years.
  • Active TS/SCI clearance w/ Poly.
  • 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.

Responsibilities

  • Provide embedded operations support and rapid prototyping for AI-enabled tools.
  • Design and maintain robust infrastructure for enterprise AI apps in cloud and on-prem environments.
  • Develop and optimize engineering workflows for AI model deployment and maintenance.
  • Architect and manage CI/CD pipelines for AI models, agents, and apps.
  • Implement and manage containerization and guardrails, including identity, policy, audit/logging, and observability.
  • Ensure lifecycle management, monitoring, and scaling of AI models and agents.
  • Collaborate with AI/ML teams to streamline deployment and resource utilization.
  • Oversee performance, security, and scalability with RMF/ATO readiness.

Skills

DevOps practices
AI lifecycle management
Security clearance
Cross-team collaboration

Education

Bachelor's degree in a relevant technical field
Master's degree in a relevant technical field

Tools

Docker
Kubernetes
Prometheus
Grafana
ELK stack

Job description

Gormat is seeking an experienced DevOps/platform engineer to own end-to-end infrastructure for AI deployment in a high-security, national-mission environment. You will architect and operate scalable cloud and on-prem AI platforms, implement robust CI/CD, and enforce security guardrails.

You will collaborate with AI/ML teams to optimize resource usage, maintain RMF/ATO readiness, and continuously adopt new DevOps practices to support enterprise AI delivery.

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