below marketmost similar roles pay hereabove market
This role pays more than
67%
of similar roles. Most pay
$163,223–$235,750
— the blue band above.
At the midpoint, this role pays about
$220k
versus about
$199k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
3564 open roles
on FindRole.
Listed pay typically runs
$166,600–$277,600
across 2760 roles with salary data.
The AI Security Architect - ARC, AIS joins the Apple Information Security Assurance ARC team to provide security architecture guidance for high-risk AI initiatives. You will own security patterns, conduct design reviews, and build secure-by-default "paved roads" for AI-driven environments. Your daily work involves partnering with engineering and data science teams to mitigate risks like data poisoning, model manipulation, and prompt injection. You will utilize Python, Swift, or Java to automate threat modeling and control validation while applying Zero Trust principles. The role requires expertise in AI/ML pipelines, RAG architectures, and regulatory frameworks like the EU AI Act or NIST AI RMF. You will codify technical decisions into an AI-powered Self-Service Enablement Platform to scale security across products, services, and operations.
Own security guidance for high-risk AI initiatives by shaping architecture patterns and conducting design reviews.
Build "paved roads" of pre-approved, reusable, and secure-by-default patterns for AI-driven systems.
Evaluate specific AI risks including data poisoning, model manipulation, and prompt injection.
Apply AI and LLMs to automate security workflows like threat modeling and control validation.
Codify security decisions and patterns into an AI-powered Self-Service Enablement Platform.
Identify emerging AI/ML technologies and architectural patterns to inform future foundational security focus areas.
Partner with engineering and data science teams to drive the adoption of security requirements.
What we're looking for
BS in Computer Science, Computer Engineering, or Information Security, or 6+ years of equivalent hands-on security experience in large enterprise environments.
Strong background in security architecture, application security, or cloud security.
Demonstrated understanding of AI/ML concepts, pipelines, and risks like data poisoning, prompt injection, and model theft.
Experience with threat modeling methodologies (e.g., STRIDE) and secure design principles.
Familiarity with AI regulatory frameworks such as the EU AI Act, NIST AI RMF, or ISO/IEC 42001.
Experience applying AI/LLMs for security automation like risk analysis and automated threat modeling.
Proficiency in at least one scripting or programming language such as Python, Swift, or Java.
Experience designing security patterns for LLM-based systems, RAG pipelines, or agentic architectures (preferred).
AI Security
LLM
RAG
Threat Modeling
STRIDE
Zero Trust
Python
Swift
Java
Cloud Security
Application Security
Data Protection
Encryption
NIST AI RMF
ISO/IEC 42001
Secure by Default
AI Security
Generative AI
LLM
RAG
Microsoft Azure
Cloud Security
Identity and Access Management
Application Security
Network Security
API Security
Threat Modeling
Secrets Management
Data Protection
Logging and Monitoring
Prompt Security
AI Observability
MCP
SaaS
AI Security
Generative AI
LLM
RAG
Azure
Cloud Security
Identity and Access Management
Application Security
Network Security
API Security
Threat Modeling
Secrets Management
Data Protection
Logging and Monitoring
MCP
AI Observability
Model Governance
Prompt Security
AI Security
Machine Learning
Generative AI
Large Language Models
Cloud Security
DevSecOps
CI/CD
Threat Modeling
Data Pipelines
APIs
Identity and Access Management
Data Protection
Security Architecture
Security Automation
Logging
Monitoring
Product Security
Application Security
AI Security
Generative AI
Agentic AI
RAG
Identity and Access Management
Cloud Security
Application Security
API Security
DevSecOps
Security Monitoring and Observability
AI Orchestration
Model Governance
Data Protection
Cloud Engineering
Security Architecture
Architecture Governance