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Principal Agent Security Engineer
Job in
Sunnyvale, Santa Clara County, California, 94087, USA
Listed on 2026-10-18
Listing for:
Fortinet, Inc.
Full Time
position Listed on 2026-10-18
Job specializations:
-
Software Development
AI Engineer (Applied/Software)
Job Description & How to Apply Below
- Build AI security solutions for enterprise customers.
- Design and implement security controls for agentic AI systems.
- Provide technical leadership across product development, working closely with Product, Engineering, and QA teams to define architecture, drive technical decisions, and deliver secure and scalable solutions.
- Develop pre-sales and post-sales tools and environments to support 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 new opportunities and develop innovative solutions.
- Drive technical strategy and product roadmap, including new feature design, architecture evolution.
- Strong software engineering skills in Python or Go, or in 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, with 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.
- Experience with LLM and agent security, including areas such as prompt injection, tool poisoning, jailbreaks, and agent security controls.
- Agentic AI architecture
- Deep understanding of MCP and A2A, with hands-on experience designing and building agentic AI systems, including tool-calling and agent frameworks. - Cybersecurity background
- Professional experience in application security, network security, identity, API security, or other cybersecurity domains.
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