Senior AI Security Engineer - Agentic Systems & Production

Perception Point; Sunnyvale (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Fortinet is seeking a Principal Agent Security Engineer in Sunnyvale to lead the design, development, and operation of secure, scalable backend services. You will own security-critical systems, drive architecture decisions, and advance agentic AI and LLM security initiatives.

You will collaborate with product, engineering, and QA teams to shape technology strategy, implement robust security controls, and mentor teams across the product lifecycle.

Qualifications

• 8+ years of experience building and operating production backend services.
• Strong system design and architecture skills with trade-offs across security, scalability, reliability, and performance.
• Self-driven and proactive with problem-solving, debugging, and technical leadership.

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 to define architecture and deliver secure, scalable solutions.
• Develop pre-sales and post-sales tools to support evaluations, deployments, troubleshooting, and integration.
• Own and operate production services, including troubleshooting, performance optimization, reliability improvements, and hardening of security-critical systems.
• Research emerging technologies and security trends to identify opportunities and develop innovative solutions.
• Drive technical strategy and product roadmap, including feature design and architecture evolution.

Skills

Python/Go

System design

Backend architecture

LLM/Agent security

Agentic AI architecture

Cybersecurity fundamentals

Education

Bachelor's degree in Computer Science

Job description

Fortinet is seeking a Principal Agent Security Engineer in Sunnyvale to lead the design, development, and operation of secure, scalable backend services. You will own security-critical systems, drive architecture decisions, and advance agentic AI and LLM security initiatives.

You will collaborate with product, engineering, and QA teams to shape technology strategy, implement robust security controls, and mentor teams across the product lifecycle.