Agentic Security Engineer

Relha LLC; Austin, Northern (TX, KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

NXP Semiconductors seeks an Agentic Security Engineer to secure agentic AI systems, orchestration platforms, and runtime environments across enterprise and engineering domains. You will work with AI engineering, security, and architecture teams to ensure secure deployment aligned with NXP security standards and regulatory expectations.

The role emphasizes runtime security, policy enforcement, and observability, with hands-on work on AI runtime monitoring, tool execution security, and secure

Qualifications

• Bachelor’s degree in computer science, cybersecurity, engineering, information technology, or a related field.
• 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 cloud platforms such as AWS and Azure.

Responsibilities

• 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.
• 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.
• 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.

Skills

AI/ML concepts

Runtime security

Policy enforcement

Observability

Analytical thinking

Communication

Education

Bachelor’s degree in CS or Cybersecurity

Master’s degree preferred

Tools

AWS

Azure

APIs

MCP integrations

Job description

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.

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.