AI Agent Security Architect

Highlights

• Define the security blueprint for autonomous agent workflows across the platform.
• Architect runtime guardrails and intent verification to block prompt injections.
• Design isolated execution environments where agents run code safely.

What they offer

• Competitive salary & equity
• 401(k) program with 4% match
• Health, dental, vision and life insurance
• Short term and long term disability
• Paid parental, medical, caregiver leave
• Flexible time off (FTO) + holidays
• Monthly wellness stipend
• Quarterly team gatherings

Ideal candidate

Security architect energized by taming non-deterministic AI behavior with rigorous controls. You bridge deep engineering and executive leadership to make autonomous agents safe at scale.

Requirements

• 6+ years in security engineering or security architecture, with 2+ years in AI/ML security, LLM application security, or securing agentic frameworks
• Deep understanding of agentic architectures and protocols (e.g. Model Context Protocol (MCP), LangChain, AutoGen, CrewAI, ReAct frameworks, vector databases)
• Hands-on expertise with agentic AI threat vectors: Indirect Prompt Injection, Goal Hijacking, Tool Parameter Tampering, Data Poisoning, Context Contamination
• Strong background in OWASP Top 10 for LLMs & AI Agents, NIST AI RMF, and MITRE ATLAS
• Proficiency in Python, Go, or TypeScript/JavaScript with track record building security tooling or guardrails
• Experience authoring, maintaining, and evangelizing technical security architecture documentation
• Ability to communicate non-deterministic AI risks to engineers and executive stakeholders
• Proven track record contributing to an enterprise Cybersecurity Risk Register