Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Responsibilities

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.

Requirements

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.

Strong Plus

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.

Fortinet makes possible a digital world that we can always trust through its mission to protect people, devices, and data everywhere. This is why the world’s largest enterprises, service providers, and government organizations choose Fortinet to securely accelerate their digital journey. The Fortinet Security Fabric platform delivers broad, integrated, and automated protections across the entire digital attack surface, securing critical devices, data, applications, and connections from the data center to the cloud to the home office. Ranking #1 in the most security appliances shipped worldwide, more than 615,000 customers trust Fortinet to protect their businesses. And the Fortinet NSE Training Institute, an initiative of Fortinet’s Training Advancement Agenda (TAA), provides one of the largest and broadest training programs in the industry to make cyber training and new career opportunities available to everyone.