Staff Engineer, AI Agent

Fortinet

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$179,500–$260,000 / yr
Posted
109 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $205k
This role $220k
$149k most similar roles pay here $272k

This role pays more than 62% of similar roles. Most pay $170,000–$240,437 — the shaded band above. At the midpoint, this role pays about $220k versus about $205k 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 43 open roles on FindRole.

Listed pay typically runs $179,000–$219,000 across 35 roles with salary data.

Most-posted roles

View all roles at Fortinet

At a glance

TL;DR · Staff Engineer, AI Agent

Staff Engineer - AI Agent will join a cybersecurity team to build an AI-driven operations platform designed for high-stakes workflows. This role involves end-to-end ownership of complex system features, where you will architect and scale backend systems, integrate LLMs and GenAI components into production pipelines, and develop robust data flows like event streams and message queues. You will focus on building trustworthy AI delivery through prompt orchestration, retrieval-augmented generation (RAG), fine-tuning, and guardrails to support SOC/NOC capabilities. The role requires proficiency in Python or Go, experience with REST, WebSocket, or GraphQL APIs, and knowledge of Postgres or graph databases. Candidates should possess skills in distributed systems, observability, and potentially JavaScript or TypeScript for building real-time dashboards. You will solve technical challenges involving automated reasoning and human-AI collaboration within a security-sensitive environment.

What does a Engineer earn in California?

Median $208000 from 94 postings across 22 companies.

See salary data

What you'll do

  • Architect and implement scalable AI agent systems for high-volume, real-time operational workloads.
  • Integrate LLMs into production workflows using prompt orchestration, retrieval pipelines, and evaluation loops.
  • Design and implement robust data flows including event streams, message queues, and job orchestration.
  • Build resilient real-time user experiences such as dashboards and streaming data visualizations.
  • Ensure trustworthy AI delivery through structured outputs, redaction guardrails, and human-in-the-loop reviews.
  • Define clear contracts between AI services, backend APIs, and frontend clients.
  • Partner with AI/ML engineers to productionize models and optimize inference pipelines.

What we're looking for

  • A BS degree with 5+ years of experience, an MS with 3+ years, or a PhD is required for backend or full-stack systems.
  • Proven track record shipping data-intensive and AI-enhanced applications at scale.
  • Proficiency in at least one modern backend runtime such as Python or Go.
  • Experience designing APIs (REST/WebSocket/GraphQL) and managing databases like Postgres, graph, or time-series stores.
  • Hands-on experience building or integrating AI systems, RAG, prompt engineering, and model fine-tuning (preferred).
  • Proficiency with JavaScript/TypeScript and React for building data-heavy dashboards (preferred).
  • Experience with event-driven architectures, message queues, and SOC/NOC operations workflows (preferred).

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