Staff Security Engineer - AI-Driven Security Assurance
Apple
- Location
- Onsite (Seattle, Washington)
- Employment
- Full-time
- Level
- Senior Level
Posted 1 day ago
About the role
Apple Services Engineering is seeking a Staff Security Engineer to build AI-driven security assurance capabilities for iCloud and Media services. This role involves partnering with engineering teams to integrate security into the software development lifecycle and establish robust security standards.
Skills
Security Architecture
Threat Modeling
Security Risk Assessment
Python
Large Language Models
AI Orchestration
Agentic Systems
Retrieval Augmented Generation
Spec-Driven Development
Security Design Review
Vulnerability Analysis
API Integration
Software Development Lifecycle
Knowledge Graphs
Context Engineering
Security Assurance
Full job details
Apple Services Engineering (ASE), the team behind iCloud and Media services and the infrastructure that powers them, is looking for a Senior Security Engineer to partner with engineering teams to build AI-driven security assurance capabilities. You will collaborate with developers, site reliability engineers, and security teams to protect ASE services and design a secure foundation for services at Apple. Your work will include scaling assurance activities, including security risk assessments, threat modeling, and development of security standards. You will work with partner teams in security engineering, privacy, and offensive security to keep Apple's services secure for our users. If you love diving into complex technical systems, sharing security improvements, and making security better, we want to hear from you!
In this role, you will combine deep expertise in security architecture, threat modeling, security design review, and spec-driven development (SDD) with hands-on experience building sophisticated AI-powered systems. You will design and develop intelligent security assurance capabilities that leverage large language models, autonomous agents, and build organization–specific security context to identify and prevent meaningful security risk across complex systems and architectures. You will also help define how security is incorporated into SDD practices, ensuring that security requirements, threat models, abuse cases, trust boundaries, controls, and verification criteria are established early and carried through the specification, implementation, testing, and development lifecycle. This is a hands-on engineering role at the intersection of security assurance and applied-AI. You will partner closely with software engineers, architects, and product teams working at the forefront of agent technology, to understand emerging capabilities, influence how agentic systems are designed and developed, and integrate security throughout the software development lifecycle (SDLC).
10 or more years of hands-on experience in security assurance, with demonstrated depth in security architecture, threat modeling, security design reviews, and security risk assessment. Experience evaluating AI system performance, including reliability, correctness, failure, modes, and effectiveness against defined objectives. Proficiency in Python or a comparable programming language, API integration, and production software development. Experience with LLM orchestration, agent tool use, retrieval systems, context engineering, and techniques for grounding AI outputs in trusted organizational data. Experience incorporating security into spec-driven development, requirements engineering, secure design practices, or comparable structured software development methodologies.
Bachelor's degree or equivalent experience preferred Experience applying generative AI or agentic automation specific to security assurance, threat, modeling, architecture, reviews, vulnerability analysis, or spec-driven development. Experience building enterprise knowledge systems using RAG, knowledge graphs, persistent memory, or hybrid retrieval techniques. Experience in integrating AI agents with engineering tools, source code, repositories, architecture, documentation, specifications, requirements systems, and security assessment workflows. Experience establishing traceability between specifications, security requirements, implementation artifacts, tests, and assurance evidence.
Description
In this role, you will combine deep expertise in security architecture, threat modeling, security design review, and spec-driven development (SDD) with hands-on experience building sophisticated AI-powered systems. You will design and develop intelligent security assurance capabilities that leverage large language models, autonomous agents, and build organization–specific security context to identify and prevent meaningful security risk across complex systems and architectures. You will also help define how security is incorporated into SDD practices, ensuring that security requirements, threat models, abuse cases, trust boundaries, controls, and verification criteria are established early and carried through the specification, implementation, testing, and development lifecycle. This is a hands-on engineering role at the intersection of security assurance and applied-AI. You will partner closely with software engineers, architects, and product teams working at the forefront of agent technology, to understand emerging capabilities, influence how agentic systems are designed and developed, and integrate security throughout the software development lifecycle (SDLC).
Minimum Qualifications
10 or more years of hands-on experience in security assurance, with demonstrated depth in security architecture, threat modeling, security design reviews, and security risk assessment. Experience evaluating AI system performance, including reliability, correctness, failure, modes, and effectiveness against defined objectives. Proficiency in Python or a comparable programming language, API integration, and production software development. Experience with LLM orchestration, agent tool use, retrieval systems, context engineering, and techniques for grounding AI outputs in trusted organizational data. Experience incorporating security into spec-driven development, requirements engineering, secure design practices, or comparable structured software development methodologies.
Preferred Qualifications
Bachelor's degree or equivalent experience preferred Experience applying generative AI or agentic automation specific to security assurance, threat, modeling, architecture, reviews, vulnerability analysis, or spec-driven development. Experience building enterprise knowledge systems using RAG, knowledge graphs, persistent memory, or hybrid retrieval techniques. Experience in integrating AI agents with engineering tools, source code, repositories, architecture, documentation, specifications, requirements systems, and security assessment workflows. Experience establishing traceability between specifications, security requirements, implementation artifacts, tests, and assurance evidence.