Agentic Security Engineer

Job Title: Agentic Security Engineer

Job Position: Agentic Security Engineer

Role Summary
The Agentic Security Engineer at NXP Semiconductors is responsible for securing agentic AI systems, autonomous workflows, AI orchestration frameworks, and AI-driven tool execution environments across enterprise and engineering domains. This role emphasizes the security of runtime execution, agent orchestration, Model Context Protocol (MCP) integrations, tool invocation mechanisms, and autonomous decision-making processes.The Agentic Security Engineer will work closely with AI engineering, platform engineering, enterprise security, and architecture teams to help ensure agentic systems are deployed securely and in alignment with NXP security standards, runtime control requirements, and applicable regulatory expectations.The ideal candidate brings hands-on experience in runtime security, AI orchestration technologies, API security, policy enforcement, and distributed systems security, along with a strong understanding of risks such as prompt injection, unsafe tool execution, unauthorized actions, context manipulation, memory poisoning, and insecure agent behavior.This position will support the design and implementation of runtime security controls, AI agent monitoring, action validation mechanisms, execution tracing, and scalable guardrails for autonomous and semi-autonomous AI systems.
Your Opportunity
NXP is a global player in Semiconductor industry, and security is an essential and integral part of our business.
Job Responsibility
1.Agentic Security Architecture and Runtime Controls
Translate security requirements and operational risks into runtime enforcement and execution control mechanisms
Contribute to secure adoption of agentic AI capabilities aligned with enterprise security and governance requirements
Support security architecture discussions for AI orchestration platforms and autonomous systems
Perform security assessments of agentic AI systems, orchestration frameworks, and enterprise integrations
Review integrations involving MCP servers, APIs, plugins, external tools, and enterprise platforms
2.AI Runtime Monitoring and Operational Security
Build and enhance observability capabilities including execution tracing, logging, auditing, and monitoring for AI agent activity
Support detection capabilities for insecure agent behavior, unsafe tool execution, and anomalous AI runtime activities
Contribute to runtime visibility, investigation support, and operational security practices for AI orchestration environments
Support monitoring controls for autonomous decision-making and AI-driven execution workflows
3.Collaboration, Risk Management, and Secure AI Operations
Collaborate with Enterprise, Security, Platform, DevOps, and AI engineering teams to support secure deployment of agentic AI systems
Assess risks related to unsafe tool execution, unauthorized actions, prompt injection, context manipulation, memory poisoning, and insecure agent behavior
Support implementation of security controls aligned with NIST AI RMF, OWASP Top 10 for LLM Applications, and secure agentic AI practices
Assist in evaluating agentic AI systems for compliance with internal security requirements and applicable regulations
Provide security guidance related to autonomous workflows, tool integrations, runtime controls, and secure orchestration practices
Job Qualification
Desired Education
Bachelor’s degree in computer science, Cybersecurity, Engineering, Information Technology, or a related field
Advanced degrees such as Masters are preferred
Professional Experience
5+ years of experience in cybersecurity, application security, runtime security, or related engineering roles
2+ years of experience securing or supporting AI/ML/GenAI applications, platforms, or services
Hands-on experience with AI/ML platforms, APIs, orchestration frameworks, or AI-assisted development environments and cloud platforms such as AWS and Azure
Experience supporting runtime monitoring, observability, or security operations in distributed systems environments is considered a plus
Technical Skills
Solid understanding of AI/ML/GenAI concepts, including AI agents, orchestration frameworks, MCP integrations, memory systems, and autonomous workflows
Strong knowledge of runtime security concepts such as policy enforcement, action validation, execution tracing, and delegated authority controls
Familiarity with AI-related 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
Understanding of API security, IAM, observability, logging, and runtime monitoring principles
Soft Skills
Strong analytical and problem-solving skills
Excellent communication and collaboration abilities
Ability to manage multiple initiatives in a fast-paced environment
Certifications (Preferred)
AI/ML-related and cybersecurity certifications are considered a plus

More information about NXP in the United States...

NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.

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