Principal Agent Security Engineer

Fortinet•Sunnyvale, CA

About The Position

The Principal Agent Security Engineer builds AI security solutions for enterprise customers and designs and implements security controls for agentic AI systems. The role provides technical leadership across product development, partnering with Product, Engineering, and QA teams to define architecture, guide technical decisions, and deliver secure, scalable solutions. The engineer develops pre-sales and post-sales tools and environments for customer evaluations, deployments, troubleshooting, and integration. The role also owns and operates production services, including troubleshooting, performance optimization, reliability improvements, and ongoing hardening of security-critical systems. The position researches emerging technologies and security trends to identify opportunities and develop solutions, while driving technical strategy and the product roadmap, including feature design and architecture evolution.

Requirements

  • Strong software engineering skills in Python, Go, or a systems language such as Rust or C/C++.
  • Bachelor’s degree or above in Computer Science, or equivalent practical experience.
  • 8+ years of experience building and operating production backend services, including architecture ownership of security-critical and highly available systems.
  • Strong system design and architecture skills, including the ability to make sound technical trade-offs across security, scalability, reliability, and performance.
  • Self-driven and proactive, with strong problem-solving, debugging, and technical leadership skills and a focus on delivering high-quality solutions.

Nice To Haves

  • Experience with LLM and agent security, including prompt injection, tool poisoning, jailbreaks, and agent security controls.
  • Deep understanding of MCP and A2A, with hands-on experience designing and building agentic AI systems, including tool-calling and agent frameworks.
  • Professional experience in application security, network security, identity, API security, or other cybersecurity domains.

Responsibilities

  • Build AI security solutions for enterprise customers.
  • Design and implement security controls for agentic AI systems.
  • Provide technical leadership across product development, working with Product, Engineering, and QA teams to define architecture, drive technical decisions, and deliver secure, scalable solutions.
  • Develop pre-sales and post-sales tools and environments for customer evaluations, deployments, troubleshooting, and integration.
  • Own and operate production services, including troubleshooting, performance optimization, reliability improvements, and ongoing hardening of security-critical systems.
  • Research emerging technologies and security trends to identify opportunities and develop innovative solutions.
  • Drive technical strategy and the product roadmap, including new feature design and architecture evolution.
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