{"id":852816,"url":"https://alion.io/job/nxp-semiconductors-agentic-security-engineer","title":"Agentic Security Engineer","company":{"id":17368,"name":"NXP Semiconductors","domain":"nxp.com","url":"https://alion.io/company/nxp","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":176,"ghost_share":0,"stale_share":0.631,"repost_share":0,"time_to_fill_p50_days":44,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Security","role_family":"Security","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":130000,"max_usd":250000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1385},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"OWASP","optional":false},{"name":"OWASP Top 10","optional":false},{"name":"IAM","optional":true}],"status":"live","first_seen_at":"2026-09-12T00:00:00Z","employer_posted_date":"2026-09-12","last_verified_at":"2026-10-29T13:32:50Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"Job Title: Agentic Security Engineer\nJob Position: Agentic Security Engineer\nRole Summary\nThe 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.\nThe 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.\nThe 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.\nThis 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.\nYour Opportunity\nNXP is a global player in Semiconductor industry, and security is an essential and integral part of our business.\nJob Responsibility\n1.Agentic Security Architecture and Runtime Controls\nTranslate security requirements and operational risks into runtime enforcement and execution control mechanisms\nContribute to secure adoption of agentic AI capabilities aligned with enterprise security and governance requirements\nSupport security architecture discussions for AI orchestration platforms and autonomous systems\nPerform security assessments of agentic AI systems, orchestration frameworks, and enterprise integrations\nReview integrations involving MCP servers, APIs, plugins, external tools, and enterprise platforms\n2.AI Runtime Monitoring and Operational Security\nBuild and enhance observability capabilities including execution tracing, logging, auditing, and monitoring for AI agent activity\nSupport detection capabilities for insecure agent behavior, unsafe tool execution, and anomalous AI runtime activities\nContribute to runtime visibility, investigation support, and operational security practices for AI orchestration environments\nSupport monitoring controls for autonomous decision-making and AI-driven execution workflows\n3.Collaboration, Risk Management, and Secure AI Operations\nCollaborate with Enterprise, Security, Platform, DevOps, and AI engineering teams to support secure deployment of agentic AI systems\nAssess risks related to unsafe tool execution, unauthorized actions, prompt injection, context manipulation, memory poisoning, and insecure agent behavior\nSupport implementation of security controls aligned with NIST AI RMF, OWASP Top 10 for LLM Applications, and secure agentic AI practices\nAssist in evaluating agentic AI systems for compliance with internal security requirements and applicable regulations\nProvide security guidance related to autonomous workflows, tool integrations, runtime controls, and secure orchestration practices\nJob Qualification\nDesired Education\nBachelor’s degree in computer science, Cybersecurity, Engineering, Information Technology, or a related field\nAdvanced degrees such as Masters are preferred\nProfessional Experience\n5+ years of experience in cybersecurity, application security, runtime security, or related engineering roles\n2+ years of experience securing or supporting AI/ML/GenAI applications, platforms, or services\nHands-on experience with AI/ML platforms, APIs, orchestration frameworks, or AI-assisted development environments and cloud platforms such as AWS and Azure\nExperience supporting runtime monitoring, observability, or security operations in distributed systems environments is considered a plus\nTechnical Skills\nSolid understanding of AI/ML/GenAI concepts, including AI agents, orchestration frameworks, MCP integrations, memory systems, and autonomous workflows\nStrong knowledge of runtime security concepts such as policy enforcement, action validation, execution tracing, and delegated authority controls\nFamiliarity with AI-related risks, including unsafe tool execution, prompt injection, memory poisoning, context manipulation, and insecure agent behavior\nWorking knowledge of the OWASP Top 10 for LLM Applications, MITRE ATLAS, and NIST AI RMF\nUnderstanding of API security, IAM, observability, logging, and runtime monitoring principles\nSoft Skills\nStrong analytical and problem-solving skills\nExcellent communication and collaboration abilities\nAbility to manage multiple initiatives in a fast-paced environment\nCertifications (Preferred)\nAI/ML-related and cybersecurity certifications are considered a plus\nMore information about NXP in the United States...\nNXP is an Equal Opportunity/AffirmativeAction 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. 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