Agentic Security Engineer (R-10066598)

NXP Semiconductors; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

NXP Semiconductors is seeking an Agentic Security Engineer to secure agentic AI systems, orchestration frameworks, and AI-driven tool execution environments across enterprise and engineering domains. You will work with AI engineering, platform security, and architecture teams to ensure runtime security, governance, and regulatory alignment.

The ideal candidate has hands-on experience in runtime security, AI orchestration, API security, policy enforcement, and distributed systems security, with

Qualifications

• 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, and cloud platforms such as AWS and Azure.
• Experience supporting runtime monitoring, observability, or security operations in distributed systems is a plus.

Responsibilities

• Translate security requirements into runtime enforcement and execution control mechanisms.
• Support secure adoption of agentic AI capabilities aligned with enterprise security and governance requirements.
• Conduct security assessments of agentic AI systems, orchestration frameworks, and enterprise integrations.
• Build observability capabilities including execution tracing, logging, auditing, and monitoring for AI agent activity.
• Collaborate with security, platform, DevOps, and AI teams to deploy secure agentic AI systems.

Skills

Analytical skills

Problem solving

Excellent communication

Collaboration

Education

Bachelor’s degree in Computer Science or related field

Masters preferred

Tools

AWS

Azure

MCP integrations

API security

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

NXP Introduction:

NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets.

For more information, please visit our website https://www.nxp.com

The future starts here. Bright Minds. Bright Futures.

We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills.

We Are NXP! Visit our careers website for more job information

Commitment At NXP.

We recognize we can be a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment, and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality.