Senior AI Architect/ Systems Administrator

Responsibilities

• System Environment Administration — Manage Linux-based and containerized environments supporting the IRAD Agentic RAG stack.
• Container Orchestration — Deploy, monitor, and maintain Docker/Kubernetes clusters used for RAG workflows, model hosting, and microservices.
• Resource Optimization — Monitor compute, storage, and GPU utilization; optimize performance for agentic workflows and retrieval pipelines.
• Zero-Trust Enforcement — Implement RBAC, MFA, network segmentation, and container isolation aligned with Division security requirements.
• RMFA Alignment — Support RMF documentation, control implementation, and continuous monitoring activities.
• Audit & Logging — Maintain system logs, audit trails, and monitoring dashboards for compliance and troubleshooting.
• CI/CD Pipeline Support — Assist DevSecOps engineers with pipeline configuration, automated deployments, and environment promotion gates.
• Model & Workflow Deployment — Support ML engineers in deploying new models, agentic workflows, and dataset updates.
• System Troubleshooting — Diagnose and resolve system issues across compute nodes, containers, storage, and network layers.
• User Support & Access Management — Manage user accounts, permissions, and onboarding for IRAD development and pursuit teams.

Qualifications

• Proven experience with AI Architectures and System Administration, with a strong portfolio showcasing a range of video production projects.
• Strong background in Linux administration, Docker, Kubernetes, and container security.
• Experience supporting AI/ML environments, microservices, or distributed systems.
• Experience with CI/CD pipelines (GitLab, Jenkins, GitHub Actions).
• Excellent communication and interpersonal skills, with the ability to work independently and as part of a team.
• A bachelor's degree in film, media arts, communications, or a related field, or equivalent professional experience.
• Ability to work in a fast-paced, dynamic environment.
• Collaborate with a diverse team of professionals.

Desired Experience

• Supporting RAG architectures, vector databases, or LLM hosting.
• Experience with tools like Jira, Ayon, Flow, or FTrack.
• Experience with AI platforms (Claude, Llama 3, Stable Diffusion).