AI Security Engineer - Red Team
Apple
- Location
- Onsite (Seattle, Washington)
- Employment
- Full-time
- Level
- Senior Level
Posted 2 days ago
About the role
Apple's AI Security Red Team seeks an engineer to lead deep security reviews of critical AI services and infrastructure. The role focuses on identifying complex risks in AI deployments and collaborating with engineering teams to improve security controls.
Skills
AI Security
Red Teaming
Infrastructure Security
Cloud Security
Application Security
Source Code Review
Vulnerability Assessment
Threat Detection
AI Architecture
Risk Assessment
Security Controls
Agentic Tools
Security Engineering
Information Security
Technical Review
Full job details
We are the Apple Services Engineering (ASE) Security Red Team. We focus on deep technical security review work of critical ASE services and infrastructure. These security reviews will be scoped and focused on review depth and quality. We are growing our team and looking an AI Security Engineer to lead deep reviews that identify meaningful security improvement opportunities. In this role, you will work closely with the AI platform teams, security engineering, InfoSec, privacy, SRE, detection, and design review teams to keep Apple's services and AI agents secure for our users. You will identify security weaknesses, validate and design detection mechanisms, and provide actionable recommendations to enhance our security posture. You will go beyond simple to find risks and identify obscure and complex risks within AI integrations and deployments. You will collaborate with AI architecture and engineering teams to continuously validate and improve our security controls and detection capabilities, with a strong focus on developing repeatable testing frameworks and metrics-driven security improvements. If you love diving into complex AI systems, and driving the security of that system over time, we want to talk to you!
In this role, you will scope and lead focused security reviews on critical internet scale AI deployments that include the agents, MCPs, their platform and supporting infrastructure. You will learn services’ AI architecture and risk profile to build a scope for our AI deployments that enables a meaningful security review. You will ensure that scope focuses on the use and relevant risks of in use AI models, while maintaining the model itself as out of scope. You will use AI to expedite all stages of your work, while maintaining accountability for all outcomes. You will use your depth of knowledge to identify risks that go undetected by agentic tools and processes to reinforce and improve those processes.
6+ years in an information security field or software engineering; 2 or more of those years conducting security reviews 1+ year reviewing AI deployments such as MCPs and Agents 2+ years of manually reviewing source code to assist in finding vulnerabilities Experience building or contributing to AI tools or AI security tools Ability to adapt quickly to prioritization shifts and investigate unfamiliar technologies Extensive infrastructure, cloud, and application security experience Experience communicating risk to engineering and leadership teams
8+ years in an information security field; 4 or more of those years conducting security reviews Bachelors degree in Computer Science / Engineering or a related, with emphasis in security related fields (or equivalent experience) Ability to reason about and influence software architecture for security Community contributions like public CVEs, bug bounty recognition, open source tools, blogs, talks etc.
Description
In this role, you will scope and lead focused security reviews on critical internet scale AI deployments that include the agents, MCPs, their platform and supporting infrastructure. You will learn services’ AI architecture and risk profile to build a scope for our AI deployments that enables a meaningful security review. You will ensure that scope focuses on the use and relevant risks of in use AI models, while maintaining the model itself as out of scope. You will use AI to expedite all stages of your work, while maintaining accountability for all outcomes. You will use your depth of knowledge to identify risks that go undetected by agentic tools and processes to reinforce and improve those processes.
Minimum Qualifications
6+ years in an information security field or software engineering; 2 or more of those years conducting security reviews 1+ year reviewing AI deployments such as MCPs and Agents 2+ years of manually reviewing source code to assist in finding vulnerabilities Experience building or contributing to AI tools or AI security tools Ability to adapt quickly to prioritization shifts and investigate unfamiliar technologies Extensive infrastructure, cloud, and application security experience Experience communicating risk to engineering and leadership teams
Preferred Qualifications
8+ years in an information security field; 4 or more of those years conducting security reviews Bachelors degree in Computer Science / Engineering or a related, with emphasis in security related fields (or equivalent experience) Ability to reason about and influence software architecture for security Community contributions like public CVEs, bug bounty recognition, open source tools, blogs, talks etc.