Senior Enterprise AI Architect
Quick Summary
standards, approved models and tools, and decision rights for every team Build secure AI platforms: LLM gateways, model routing, access controls, retrieval, agent frameworks,
CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated. #LI-onsi
Responsibilities
~1 min read- →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
- 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
~1 min read- 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
- 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
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.
#LI-onsite
Location & Eligibility
About this job
- Pay per year
- $220,000–$280,000 a year
- 43% above the $175,000 median for Architect jobs on Jobera (822 salaries).
- Who can apply
- United States
- Posted
- Today
Listing Details
- Posted
- November 10, 2026
- First seen
- November 10, 2026
- Last seen
- November 10, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 79%
- Scored at
- November 10, 2026
Signal breakdown
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