Agentic Security Engineer

Job Title: Agentic Security EngineerJob Position: Agentic Security EngineerRole SummaryThe 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 OpportunityNXP is a global player in Semiconductor industry, and security is an essential and integral part of our business.Job Responsibility1.Agentic Security Architecture and Runtime ControlsTranslate security requirements and operational risks into runtime enforcement and execution control mechanismsContribute to secure adoption of agentic AI capabilities aligned with enterprise security and governance requirementsSupport security architecture discussions for AI orchestration platforms and autonomous systemsPerform security assessments of agentic AI systems, orchestration frameworks, and enterprise integrationsReview integrations involving MCP servers, APIs, plugins, external tools, and enterprise platforms2.AI Runtime Monitoring and Operational SecurityBuild and enhance observability capabilities including execution tracing, logging, auditing, and monitoring for AI agent activitySupport detection capabilities for insecure agent behavior, unsafe tool execution, and anomalous AI runtime activitiesContribute to runtime visibility, investigation support, and operational security practices for AI orchestration environmentsSupport monitoring controls for autonomous decision-making and AI-driven execution workflows3.Collaboration, Risk Management, and Secure AI OperationsCollaborate with Enterprise, Security, Platform, DevOps, and AI engineering teams to support secure deployment of agentic AI systemsAssess risks related to unsafe tool execution, unauthorized actions, prompt injection, context manipulation, memory poisoning, and insecure agent behaviorSupport implementation of security controls aligned with NIST AI RMF, OWASP Top 10 for LLM Applications, and secure agentic AI practicesAssist in evaluating agentic AI systems for compliance with internal security requirements and applicable regulationsProvide security guidance related to autonomous workflows, tool integrations, runtime controls, and secure orchestration practicesJob QualificationDesired EducationBachelor’s degree in computer science, Cybersecurity, Engineering, Information Technology, or a related fieldAdvanced degrees such as Masters are preferredProfessional Experience5+ years of experience in cybersecurity, application security, runtime security, or related engineering roles2+ years of experience securing or supporting AI/ML/GenAI applications, platforms, or servicesHands-on experience with AI/ML platforms, APIs, orchestration frameworks, or AI-assisted development environments and cloud platforms such as AWS and AzureExperience supporting runtime monitoring, observability, or security operations in distributed systems environments is considered a plusTechnical SkillsSolid understanding of AI/ML/GenAI concepts, including AI agents, orchestration frameworks, MCP integrations, memory systems, and autonomous workflowsStrong knowledge of runtime security concepts such as policy enforcement, action validation, execution tracing, and delegated authority controlsFamiliarity with AI-related risks, including unsafe tool execution, prompt injection, memory poisoning, context manipulation, and insecure agent behaviorWorking knowledge of the OWASP Top 10 for LLM Applications, MITRE ATLAS, and NIST AI RMFUnderstanding of API security, IAM, observability, logging, and runtime monitoring principlesSoft SkillsStrong analytical and problem-solving skillsExcellent communication and collaboration abilitiesAbility to manage multiple initiatives in a fast-paced environmentCertifications (Preferred)AI/ML-related and cybersecurity certifications are considered a plusMore 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.#LI-97b2SummaryLocation: Austin (Oakhill, Office)Type: Full time