Principal Agent Security Engineer

Fortinet•Sunnyvale, CA

About The Position

Fortinet is seeking a Principal Agent Security Engineer to build AI security solutions for enterprise customers and design security controls for agentic AI systems. The role provides technical leadership across product development, working with Product, Engineering, and QA teams to define architecture, guide technical decisions, and deliver secure, scalable solutions. It also develops tools and environments for customer evaluations, deployments, troubleshooting, and integration; operates and hardens production security-critical services; researches emerging technologies and security trends; and drives technical strategy, product roadmaps, feature design, and architecture evolution. Fortinet’s mission is to protect people, devices, and data everywhere. Its Security Fabric platform provides integrated, automated protection across the digital attack surface. Fortinet serves enterprises, service providers, and government organizations, and reports that more than 615,000 customers trust it to protect their businesses.

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.
  • At least 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 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 cybersecurity experience in application security, network security, identity, API security, or another cybersecurity domain.

Responsibilities

  • Build AI security solutions for enterprise customers.
  • Design and implement security controls for agentic AI systems.
  • Provide technical leadership across product development, collaborating with Product, Engineering, and QA teams to define architecture, make 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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