AI Security Research & Red Team Engineer

Cloudflare, Inc

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TXNew York, NY
Salary
$166,000–$208,000 / yr
Posted
78 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k
This role $187k
$130k $236k
below market most similar roles pay here above market

This role pays more than 54% of similar roles. Most pay $154,450–$222,275 — the blue band above. At the midpoint, this role pays about $187k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About Cloudflare, Inc

Cloudflare is a prominent cloud services and security company that provides content delivery network (CDN), DDoS mitigation, and Zero Trust security services to millions of internet properties.

Cloudflare, Inc currently has 110 open roles on FindRole.

Listed pay typically runs $194,000–$266,000 across 56 roles with salary data.

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At a glance

TL;DR · AI Security Research & Red Team Engineer

The AI Security Research & Red Team Engineer joins the Red Team within the Security Threat Detection, Response and Emulation organization. This role involves driving security research, performing deep-dive vulnerability analysis, and executing full-chain red team operations against global infrastructure, corporate networks, and product ecosystems. You will conduct agentic testing, identify AI-related attack surfaces, and perform adversary simulations focusing on LLMs, agents, and harnesses. Key responsibilities include establishing efficacy testing frameworks for WAF, EDR, and SIEM detections, participating in purple teaming, and translating complex exploits into risk-based narratives. Required skills include expertise in prompt engineering, jailbreaking, and exploit development, alongside proficiency with the MITRE ATT&CK framework, cloud security (AWS/GCP/Bare Metal), and automated breach and attack simulation tools to identify and mitigate emerging AI-specific threats.

What you'll do

  • Perform deep-dive research to identify AI-specific vulnerabilities and risks across products and services.
  • Test agentic implementations and LLM usage to identify attack surfaces and define implementation guidance.
  • Execute full-chain red team operations targeting global infrastructure, corporate networks, and product ecosystems.
  • Establish a framework to measure the efficacy of WAF, EDR, and SIEM detections against known TTPs.
  • Partner with the Blue Team to translate red team findings into immediate defensive improvements.
  • Conduct unannounced exercises for the Incident Response Team to refine playbooks and test forensic tooling.
  • Develop new detection logic and validation frameworks to bridge gaps between simulation and defensive coverage.
  • Translate complex technical exploits into risk-based narratives for executive leadership.

What we're looking for

  • 4+ years of experience in offensive security, application security, or a relevant field.
  • Deep knowledge of AI, coding agents, LLMs, prompt engineering, and AI-related attack vectors like prompt injection and jailbreaking.
  • Strong background in manual penetration testing, exploit development, or cloud security (AWS/GCP/Bare Metal).
  • Experience using the MITRE ATT&CK framework to map coverage and identify blind spots in defensive telemetry.
  • Knowledge of automated breach and attack simulation (BAS) tools and custom-built frameworks for payload delivery and C2 infrastructure.
  • Ability to explain complex 0-day exploits to non-technical stakeholders while maintaining technical depth for engineering teams.
  • Export control laws, including the U.S. Export Administration Regulations.

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