Senior Enterprise AI Architect - LLM & Secure DevSecOps

Digitailor

El Segundo (CA)

In loco

USD 220.000 - 280.000

Tempo pieno

4 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Medical, dental, and vision benefits
401k + match
Relocation assistance
Onsite lunch and perks
Unlimited PTO

Descrizione del lavoro

CHAOS Industries in El Segundo, CA or Washington, DC is seeking a Senior Enterprise AI Architect to lead the design and deployment of secure AI platforms across DoD-grade environments. You’ll define reference architectures for LLMs, establish gating, CI/CD, and governance, and work across multiple teams to deliver compliant, scalable AI solutions.

Candidates should have 12+ years in software or enterprise architecture, 5+ years delivering AI/ML in production, strong DevSecOps background, and

Competenze

  • 12+ years in software, platform or enterprise architecture.
  • 5+ years designing and delivering AI/ML or LLM systems in production.
  • 3+ years leading architecture across multiple teams.

Mansioni

  • Define the enterprise AI reference architecture: standards, approved models and tools, and decision rights for every team.
  • Build secure AI platforms: LLM gateways, model routing, access controls, retrieval, agent frameworks, and cost tracking.
  • Set the architecture for AI across the SDLC and CI/CD: coding assistants, agentic dev tools, automated review and testing, policy-as-code gates.
  • Design data boundaries that keep CUI and ITAR data inside approved environments, from commercial cloud to air-gapped networks.
  • Map AI use to CMMC 2.0, NIST 800-171, FedRAMP, ITAR/EAR and NIST AI RMF, and chair the AI Architecture Review Board.

Conoscenze

Enterprise architecture
AI/LLM systems
DevSecOps
CI/CD
Kubernetes
Regulated environments

Formazione

Master's degree
PhD

Strumenti

GitHub
Infrastructure as Code

Descrizione del lavoro

CHAOS Industries in El Segundo, CA or Washington, DC is seeking a Senior Enterprise AI Architect to lead the design and deployment of secure AI platforms across DoD-grade environments. You’ll define reference architectures for LLMs, establish gating, CI/CD, and governance, and work across multiple teams to deliver compliant, scalable AI solutions.

Candidates should have 12+ years in software or enterprise architecture, 5+ years delivering AI/ML in production, strong DevSecOps background, and

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