12 hours ago
Responsibilities
- Design and develop AI-powered security assurance capabilities for complex systems and architectures.
- Perform and scale security risk assessments, threat modeling, security architecture, and security design reviews.
- Incorporate security requirements, threat models, abuse cases, trust boundaries, controls, and verification criteria into spec-driven development.
- Evaluate AI system reliability, correctness, failure modes, and effectiveness against defined objectives.
- Integrate AI agents with engineering tools, source code, repositories, architecture, documentation, specifications, requirements systems, and security assessment workflows.
- Establish traceability between specifications, security requirements, implementation artifacts, tests, and assurance evidence.
- Partner with software engineers, architects, product teams, security engineering, privacy, offensive security, and site reliability engineering teams.
Requirements
- 10 or more years of hands-on experience in security assurance, including security architecture, threat modeling, security design reviews, and security risk assessment.
- Proficiency in Python or a comparable programming language, API integration, and production software development.
- Experience evaluating AI system performance, including reliability, correctness, failure modes, and effectiveness against defined objectives.
- Experience with LLM orchestration, agent tool use, retrieval systems, context engineering, and 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: bachelor's degree or equivalent experience.
- Preferred: experience applying generative AI or agentic automation to security assurance, threat modeling, architecture, reviews, vulnerability analysis, or spec-driven development.
- Preferred: experience building enterprise knowledge systems using RAG, knowledge graphs, persistent memory, or hybrid retrieval techniques.
Tech Stack
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.