AI/CNO Engineer
On-siteChantilly, Virginia, United States
Job Summary
Evaluate emerging large language models for mission applicability and deploy, configure, and maintain offline/air-gapped LLM environments. Build and maintain secure AI platforms that provide reliable access to LLM capabilities, developing harnesses, APIs, and user interfaces for engineers and researchers. Integrate these models into development and vulnerability research workflows to improve productivity while assessing infrastructure, compute, storage, and networking requirements. Monitor, maintain, and optimize platform performance, reliability, and scalability. Collaborate with software developers, vulnerability researchers, reverse engineers, and cyber operators to identify AI integration opportunities. Stay current with foundation model advances to recommend new capabilities.
Required Qualifications
- Experience deploying and managing large language models (LLMs) in self-hosted or offline environments
- Experience supporting cybersecurity, vulnerability research (VR), reverse engineering, or cyber operations
- Experience with one or more current LLMs such as Opus, Sonnet, MiniMax, Qwen, or similar
- Experience building APIs, tooling, or interfaces that integrate AI capabilities into existing applications or workflows
- Strong troubleshooting and systems integration skills
- Active TS/SCI clearance with current or ability to obtain polygraph
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