Lead AI Security Red Team Engineer – Deep AI Reviews

Apple Inc.

Seattle (WA)

On-site

USD 175,000 - 309,000

Full time

2 days ago
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Benefits offered by this job

Comprehensive medical and dental
Retirement benefits
Employee stock programs
Relocation

Job summary

Apple is seeking an AI Security Engineer in Seattle, WA, to lead deep security reviews of AI deployments, agents, and related platforms. You will collaborate with AI architecture, security engineering, privacy, SRE, and design review teams to strengthen detection capabilities and governance.

The role emphasizes reducing obscure AI risks, building repeatable testing frameworks, and delivering actionable security improvements with a metrics-driven approach.

Qualifications

  • 6+ years in information security field or software engineering; 2+ years conducting security reviews
  • 1+ year reviewing AI deployments such as MCPs and Agents
  • 2+ years manually reviewing source code to find vulnerabilities

Responsibilities

  • Enumerate risks, plan reviews, and execute those reviews to identify vulnerabilities and improvements
  • Be a technical expert in obscure risks within AI deployments and platforms
  • Lead security testing methodologies for AI Agents and MCPS
  • Develop proof-of-concept systems to automate security recommendations and workflows
  • Identify areas ripe for improvement and establish security goals

Skills

Security reviews
AI security tools
Cloud security
Vulnerability discovery
Leadership communication

Education

Bachelor's degree in Computer Science / Engineering

Tools

AI security tools

Job description

Apple is seeking an AI Security Engineer in Seattle, WA, to lead deep security reviews of AI deployments, agents, and related platforms. You will collaborate with AI architecture, security engineering, privacy, SRE, and design review teams to strengthen detection capabilities and governance.

The role emphasizes reducing obscure AI risks, building repeatable testing frameworks, and delivering actionable security improvements with a metrics-driven approach.

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