Agentic Security Engineer
Full-time
NXP Semiconductors
Responsibilities
- Translate security requirements and operational risks into runtime enforcement and execution control mechanisms.
- Assess the security of agentic AI systems, orchestration frameworks, MCP servers, APIs, plugins, external tools, and enterprise integrations.
- Build and enhance execution tracing, logging, auditing, observability, and monitoring for AI agent activity.
- Support detection, investigation, and operational security for unsafe or anomalous AI runtime behavior.
- Implement controls for action validation, delegated authority, autonomous decision-making, and AI-driven execution workflows.
- Collaborate with AI engineering, platform engineering, DevOps, enterprise security, and architecture teams on secure agentic AI deployment.
- Assess risks involving prompt injection, unsafe tool execution, unauthorized actions, context manipulation, memory poisoning, and insecure agent behavior.
- Support compliance with internal security requirements, applicable regulations, NIST AI RMF, and OWASP Top 10 for LLM Applications.
Requirements
- Bachelor’s degree in computer science, cybersecurity, engineering, information technology, or a related field.
- At least 5 years of experience in cybersecurity, application security, runtime security, or related engineering roles.
- At least 2 years of experience securing or supporting AI/ML/GenAI applications, platforms, or services.
- Hands-on experience with AI/ML platforms, APIs, orchestration frameworks, AI-assisted development environments, and cloud platforms such as AWS and Azure.
- Strong understanding of runtime security, policy enforcement, action validation, execution tracing, delegated authority controls, API security, IAM, observability, logging, and runtime monitoring.
- Knowledge of AI-agent security risks, including unsafe tool execution, prompt injection, memory poisoning, context manipulation, and insecure agent behavior.
- Working knowledge of the OWASP Top 10 for LLM Applications, MITRE ATLAS, and NIST AI RMF.
- Advanced degrees such as a master’s degree and AI/ML or cybersecurity certifications are preferred.
- Strong analytical, problem-solving, communication, collaboration, and initiative-management skills.
Vacancy posted 5 days ago
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