Principal AI Security Engineer

Fortinet

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$170,000–$225,000 / yr
Posted
24 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $198k
$126k most similar roles pay here $241k

This role pays more than 57% of similar roles. Most pay $154,550–$214,850 — the shaded band above. At the midpoint, this role pays about $198k versus about $185k for comparable roles.

Based on 240 similar postings.

Employer

About Fortinet

Fortinet is a US-based cybersecurity company best known for its FortiGate next-generation firewalls. It sells a broad security platform spanning network security, SD-WAN, endpoint protection, cloud security, and SIEM/SOC operations.

Fortinet currently has 56 open roles on FindRole.

Listed pay typically runs $170,000–$219,000 across 46 roles with salary data.

Most-posted roles

View all roles at Fortinet

At a glance

TL;DR · Principal AI Security Engineer

The Principal AI Security Engineer joins the Corporate Information Security team as a subject matter expert focused on ensuring the security, safety, and privacy of AI-driven applications. This role involves conducting code reviews, performing AI Red Teaming assessments, and executing threat modeling for products like chatbots, MCP implementations, and autonomous agents. The engineer will build and maintain security guardrails, input/output filters, and policy enforcement layers for LLM interactions while integrating specific checks into CI/CD workflows. Key technical competencies include expertise in LLM architectures, vector databases, Agentic AI, and prompt engineering. The role requires deep knowledge of OWASP Top 10, API security, cloud-native microservices, and containerization. Candidates must navigate complex risks such as prompt injection and data poisoning to protect infrastructure from emerging attack vectors within the evolving AI landscape.

What you'll do

  • Conduct code reviews and AI Red Teaming assessments to identify vulnerabilities in new features and existing code.
  • Perform threat modeling for AI-related products including chatbots, MCP implementations, and autonomous agents.
  • Integrate security and AI-specific checks into CI/CD workflows to automate testing and ensure best practices.
  • Develop and implement security guardrails, input/output filters, and policy enforcement layers for LLM interactions.
  • Design and implement tools, processes, and controls to ensure safety and privacy in AI applications.
  • Research new attack vectors on AI applications that could impact corporate infrastructure.
  • Develop and communicate vulnerability mitigation strategies for identified security risks.
  • Provide expert guidance and coaching to internal teams on AI/ML security concepts.

What we're looking for

  • 7+ years of experience in information security, product security, application security, AI/ML, or data science fields.
  • Bachelor's degree in Computer Science, Cyber Security, a related technical field, or equivalent experience.
  • Strong understanding of LLM architectures, training, vector databases, and guardrails, along with OWASP Top 10 and LLM Top 10 risks.
  • Experience in manual application penetration testing, security code review, and threat modeling methodologies like STRIDE or MAESTRO.
  • Solid understanding of cloud-native architecture, microservices, containerization, CI/CD pipelines, and DevSecOps principles.
  • Strong knowledge of network security, authentication protocols (OAuth, JWT), and cryptography.
  • MS or PhD in Artificial Intelligence or related field (preferred); experience in AI Red teaming, MLOps, or familiarity with EU AI Act (preferred).

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