Senior Enterprise AI Architect

Chaos Industries; El Segundo (CA); On-site; USD 288,000 - 352,000; Full time

Benefits offered by this job

Health benefits: medical, dental, and

401k with company match

Relocation assistance

Annual bonuses

Onsite lunch

Unlimited PTO

Job summary

Chaos Industries, a defense tech company, seeks a Senior Enterprise AI Architect to define enterprise AI reference architectures and secure platforms.

You will lead cross‑functional teams to implement LLM gateways, model routing, and CI/CD integration across environments including GovCloud and air-gapped networks.

Qualifications

• 12+ years in software, platform or enterprise architecture.
• 5+ years designing and delivering AI/ML/LLM systems in production.
• 3+ years leading architecture across multiple teams.
• Strong DevSecOps and CI/CD background.
• Experience in regulated environments (CMMC/NIST 800-171, FedRAMP, ITAR/CUI).
• Cloud architecture in AWS GovCloud, Azure Government or equivalent.

Responsibilities

• 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 and GovCloud 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.

Skills

Enterprise architecture

AI/ML systems

DevSecOps

CI/CD

Cloud architecture

Regulated environments

Leadership

Education

Master’s degree or PhD

Tools

GitHub

Kubernetes

IaC

Job description

El Segundo, California OR Washington D.C.

Decide how a defense tech company adopts AI: fast for engineers, locked down for controlled data.

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats.

Senior Enterprise AI Architect (LLM / DevSecOps)

Onsite: El Segundo, California OR Washington D.C.

Decide how a defense tech company adopts AI: fast for engineers, locked down for controlled data.

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats.

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, and London. For more information, please visit www.chaosinc.com.

What You’ll Do

• 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 and GovCloud 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

You’re a fit if you have

• 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


• Deep hands‑on experience with LLM and agent architectures: retrieval, evaluation, guardrails, model routing, tool use, agent permissions


• Experience rolling out AI developer tools (coding assistants, agentic coding tools) at scale and measuring impact


• Strong DevSecOps and CI/CD background: GitHub or similar, pipeline security, IaC, Kubernetes, software supply‑chain security


• Experience in regulated environments (CMMC/NIST 800‑171, FedRAMP, ITAR/CUI)


• Cloud architecture in AWS GovCloud, Azure Government or equivalent, plus on‑prem or air‑gapped deployments


• DoD 8540 certifications (Advanced: CCISO, CISM, CISSP, GSLC; Intermediate: GSEC, SSCP)

Nice to have

• Master’s degree or PhD


• Built an enterprise AI program as a company grew from hundreds to thousands of people


• IL5/IL6 or classified environments, cross‑domain solutions


• Ran an MLOps platform for ML shipped into hardware or edge systems


• Defense, aerospace or other export‑controlled industry background


• AI security and red‑team experience (prompt injection, data poisoning, model extraction, rogue agents)


• AI architecture credentials (Claude Certified Architect, NCP‑GENL, MIT AI System Architecture); equivalent hands‑on experience accepted


• Active TS clearance

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company


• Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more


• Our Perks: Free daily lunch while you’re working onsite, fully‑stocked kitchen, unlimited PTO, casual dress code


• Compensation Components: Competitive base salaries, generous pre‑IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses


• Team Growth: 500+ employees and counting across 5 global offices

[Salary Range: $220,000 - $280,000]

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.