Staff Security Engineer - AI-Driven Security Assurance - Jobs - Careers at Apple
- Architect, develop, and deploy AI-powered security assurance systems that automate and augment security design reviews, threat modeling, and architectural risk assessments
- Define and implement security practices for spec-driven development, including security requirements, abuse cases, threat models, trust boundaries, control objectives, and security acceptance criteria
- Integrate security analysis and verification into the SDD lifecycle so that security considerations are addressed during specification, design, implementation, testing, and change review
- Build agentic workflows capable of analyzing complex system architectures and specifications, reasoning about security threats, identifying potential vulnerabilities, and producing actionable security findings
- Implement advanced context-management approaches, including retrieval-augmented generation (RAG), persistent agent memory, and other techniques that enable AI systems to reason effectively within the organization's security environment
- Apply evaluation frameworks to measure the accuracy, completeness, reliability, and security effectiveness of AI-generated assessments and SDD outputs
- Integrate AI-driven assurance capabilities into engineering workflows and existing security infrastructure to expand security coverage without proportionally increasing manual review effort
- Continuously evaluate emerging AI models, agent frameworks, and engineering techniques, identifying opportunities to improve security assurance capabilities
- Partner with security engineers, architects, and engineering teams to translate complex security requirements and expert judgment into reusable, automated assurance capabilities
- 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.
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Required Skills
Required Languages
🇬🇧 English