Staff AI Security Engineer

FanDuel

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$184,000–$241,500 / yr
Posted
99 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k
This role $213k
$117k most similar roles pay here $255k

This role pays more than 74% of similar roles. Most pay $151,500–$214,062 — the shaded band above. At the midpoint, this role pays about $213k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About FanDuel

FanDuel is a leading online sports betting and daily fantasy sports platform operating across the United States, offering sportsbook wagering, casino games, and horse racing to millions of customers.

FanDuel currently has 13 open roles on FindRole.

Listed pay typically runs $156,000–$204,750 across 13 roles with salary data.

Most-posted roles

View all roles at FanDuel

At a glance

TL;DR · Staff AI Security Engineer

Staff AI Security Engineer joins the Security team to drive how FanDuel builds and utilizes AI securely across its platform, including the AI gateway, agent orchestration layer, and MCP tool ecosystem. This role involves defining multi-year security roadmaps, establishing governance models using OWASP LLM Top 10, MITRE ATLAS, and NIST AI RMF, and securing the inference and agent stack against risks like prompt injection, jailbreaking, and data poisoning. The engineer will build automated red-teaming tools, implement policy-as-code for gateways, and manage tool-use attack surfaces. Key technical requirements include experience with Python or Go, cloud infrastructure (AWS, GCP, or Azure), CI/CD pipelines, and specialized testing tools like Garak or PyRIT. The role focuses on making security a seamless property of the platform rather than an individual application requirement.

What you'll do

  • Develop and own the multi-year AI and agentic security roadmap, including vision, strategy, and standards.
  • Secure the inference and agent stack by implementing controls against prompt injection, jailbreaking, and data poisoning.
  • Define security requirements for MCP server registration, tool authentication, and agent-to-tool trust boundaries.
  • Establish and execute AI red-teaming and adversarial testing to identify failure modes before production.
  • Create a governance model using frameworks like OWASP LLM Top 10 and MITRE ATLAS to guide engineering teams.
  • Build automated security tools and policy-as-code to ensure scalable, repeatable protection at the gateway level.
  • Partner with platform teams to embed security controls directly into the infrastructure rather than individual applications.

What we're looking for

  • Experience in security engineering within the software development lifecycle, including design, code review, CI/CD, and production deployment.
  • Hands-on experience with AI/LLM and agentic security, specifically regarding prompt injection, jailbreaking, and data poisoning.
  • Working knowledge of AI-specific frameworks such as OWASP LLM Top 10, MITRE ATLAS, and NIST AI RMF.
  • Experience securing AI infrastructure like API gateways, agent orchestration platforms, or MCP/tool-registry architectures.
  • Familiarity with LLM red-teaming tools (e.g., Garak, PyRIT) and evaluation/observability platforms.
  • Proven track record of defining multi-year security strategies and building scalable automation and tooling.
  • Proficiency in modern cloud infrastructure (AWS, GCP, or Azure) and CI/CD pipelines.
  • Solid coding skills in at least one modern programming language such as Python or Go.

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