CHAOS Industries

Develops military sensor and radar systems

Senior Enterprise AI Architect - LLM / DevSecOps

Natural Language Processing & LLMsPosted on Nov 10

Full-timeIn-person

About the Job

Requirements

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, including retrieval, evaluation, guardrails, model routing, tool use, and agent permissions.
Experience rolling out AI developer tools, including coding assistants and agentic coding tools, at scale and measuring their impact.
Strong DevSecOps and CI/CD background, including GitHub or similar tools, pipeline security, infrastructure as code, Kubernetes, and software supply-chain security.
Experience in regulated environments, including CMMC/NIST 800-171, FedRAMP, and ITAR/CUI.
Cloud architecture experience in AWS GovCloud, Azure Government, or equivalent, plus on-premises or air-gapped deployments.
DoD 8540 certifications at the Advanced level (CCISO, CISM, CISSP, or GSLC) or Intermediate level (GSEC or SSCP).

Responsibilities

Define the enterprise AI reference architecture, including standards, approved models and tools, and decision rights for every team.
Build secure AI platforms, including LLM gateways, model routing, access controls, retrieval, agent frameworks, and cost tracking.
Set the architecture for AI across the software development lifecycle and CI/CD, including coding assistants, agentic development tools, automated review and testing, and 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.

Desired Qualifications

Master’s degree or PhD.
Experience building an enterprise AI program as a company grew from hundreds to thousands of people.
Experience with IL5/IL6 or classified environments and cross-domain solutions.
Experience running an MLOps platform for machine learning shipped into hardware or edge systems.
Defense, aerospace, or other export-controlled industry background.
AI security and red-teaming experience, including prompt injection, data poisoning, model extraction, and rogue agents.
AI architecture credentials such as Claude Certified Architect, NCP-GENL, or MIT AI System Architecture; equivalent hands-on experience is accepted.
Active TS clearance.

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-teaming 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.

Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

#LI-onsite

Compensation Range: 1.0 - 1.0 USD

About the Company

CHAOS Industries

Develops military sensor and radar systems

Chaos Industries builds defense technology by creating sensor, radar, and network systems for military and security use. Its Coherent Distributed Networks (CDN) synchronizes a network of sensors to improve detection and situational awareness across land, sea, and air, enabling earlier threat warnings. Its product line includes Vanquish multistatic radar for early warning and tracking of unmanned systems and missiles, the HYDRA software-defined platform for detection and communications, and ASTRIA for long-range mobile multi-object tracking; it has formed an Aerospace Division after acquiring Ziva Corporation and Atropos Group. The company targets U.S. and allied defense clients, focusing on software-driven systems that can be updated and deployed quickly, with the goal of delivering faster reactions and better national security readiness while expanding production and advancing its technology roadmap.

Company size: 201-500
Company stage: Series D
Total funding: $1B
Headquarters: Los Angeles, CA
Founded: 2022

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