Sr Staff Engineer — AI Security Architecture (HYBRID)

GEICO•Katy, TX

35d•Hybrid

About The Position

GEICO is seeking a Senior Staff Engineer in AI Security Architecture to design and build the next generation of intelligent cybersecurity automation. This is a hands-on technical role for someone who thinks in systems, codes with discipline, and sees AI as an engineering surface — not a shortcut. You'll operate at the intersection of security architecture, agentic AI development, and developer enablement, helping engineering teams across the enterprise build securely and ship confidently.

Requirements

Strong security architecture background — you can identify automation opportunities before they're on anyone's roadmap, design novel solutions, and guide teams toward secure, scalable patterns
Hands-on experience building fully agentic AI systems; chatbot wrappers don't count
Demonstrated ability to write long, complex, domain-rich prompts for production LLM workflows
Production-grade Python skills and the discipline to keep a codebase clean as it scales
Deep understanding of AI/ML concepts and how they intersect with security risk and assisted coding workflows
Experience with Terraform and/or Ansible for infrastructure automation
Broad hands-on experience with CI/CD, networking, containerization, and orchestration (e.g., Kubernetes, Docker) — both as things you secure and as tools you build with
Fluency writing API-driven automations and integrating with enterprise platforms
8+ years in software engineering, security engineering, or a hybrid architecture role
3+ years of hands-on experience with at least one major cloud provider (Azure preferred)
Demonstrated experience shipping production AI/ML systems or security automation tooling
Experience with identity and access patterns, OAuth/OIDC, and enterprise auth integrations
Bachelor's degree in Computer Science, Cybersecurity, or equivalent experience

Responsibilities

Design, build, and maintain agentic AI systems — including React loops, tool orchestration, and RAG pipelines — in production-grade Python
Author and refine complex, domain-rich prompts that encode security architecture knowledge into reliable, repeatable LLM-powered workflows
Conduct AI-assisted architecture and secure design reviews across enterprise systems, identifying weaknesses early and guiding teams toward paved-road solutions
Partner with engineering teams as a hands-on security architecture advisor — reviewing designs, accelerating production readiness, and raising the bar on secure-by-default thinking
Build and maintain integrations with enterprise platforms including Azure AD, Azure DevOps, Slack, and internal APIs, with a strong command of the auth and governance landscape that comes with them
Write infrastructure-as-code and automation tooling using Terraform and/or Ansible to operationalize security controls at scale
Apply your knowledge of CI/CD pipelines, containerization, and orchestration both as surfaces to secure and as tools to build with