{"id":852815,"url":"https://alion.io/job/nxp-semiconductors-ai-security-engineer","title":"AI 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":83,"open_postings":175,"ghost_share":0,"stale_share":0.669,"repost_share":0,"time_to_fill_p50_days":44,"computed_at":"2026-10-31T05:58:55Z"}},"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":249000,"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":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Embeddings","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","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":"RAG","optional":false},{"name":"Threat Modeling","optional":false}],"status":"live","first_seen_at":"2026-09-12T00:00:00Z","employer_posted_date":"2026-09-12","last_verified_at":"2026-10-31T18:38:18Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"Job Position: AI Security Engineer\nRole Summary\nThe AI Security Engineer at NXP Semiconductors will be responsible for securing Machine Learning (ML), Generative AI (GenAI), and Agentic AI solutions deployed across enterprise and engineering environments. This role focuses on identifying, assessing, and mitigating security risks associated with Large Language Models (LLMs), retrieval systems, AI agents, model integrations, AI-assisted development tools, and enterprise AI platforms.\nThe AI Security Engineer will collaborate with AI solution teams, application teams, cloud/platform engineering, enterprise security, and architecture teams to ensure solutions are deployed securely and aligned with NXP security standards, risk management practices, and regulatory requirements.\nThe ideal candidate will have hands-on experience in application security, cloud-native security, and secure software engineering practices, with strong understanding of AI-related attack vectors such as prompt injection, insecure tool usage, model abuse, data leakage, retrieval poisoning, and insecure model integrations.\nThis role will support AI security assessments, runtime security controls, AI security testing, and implementation of scalable security guardrails to enable secure enterprise AI adoption and AI-enabled engineering workflows.\nYour Opportunity\nNXP is a global player in Semiconductor industry, and security is an essential and integral part of our business.\nJob Responsibility\n1.AI Security Assessments\nConduct security assessments for AI/ML/GenAI use cases and platforms\nEvaluate AI systems for risks related to prompt injection, insecure outputs, data leakage, unsafe tool execution, model misuse, and retrieval poisoning\nReview AI integrations involving APIs, plugins, MCP servers, external tools, vector databases, and enterprise data sources\nSupport threat modeling activities for AI-powered applications and agentic workflows\nAI Runtime Security and Control Implementation\nSupport the implementation of AI runtime security controls, monitoring, and policy enforcement mechanisms\nAssist in securing AI gateways, inference endpoints, and AI service integrations\nHelp define security guardrails for prompts, agent execution, and model interactions\nContribute to observability and monitoring capabilities for AI systems, including logging, auditing, and anomaly detection\n3.Secure AI Development and Engineering Practices\nCollaborate with engineering teams to integrate secure development practices into AI/ML/GenAI workflows\nSupport secure deployment and configuration of AI applications across cloud and enterprise environments\nAssist with validating secure use of AI coding assistants and AI-enabled development tools\n4.Collaboration and Stakeholder Engagement\nCollaborate with Enterprise Architects, Application Security teams, Cloud Security teams, Data Scientists, AI Engineers, and Business stakeholders\nSupport AI onboarding and security review processes for new AI initiatives and platforms\nProvide security guidance and recommendations to development and product teams\nParticipate in discussions related to AI governance, risk management, and enterprise AI adoption\n5.Risk Management and Compliance\nSupport implementation of controls aligned with industry frameworks such as NIST AI RMF, OWASP Top 10 for LLM Applications, and secure AI engineering best practices\nIdentify and support remediation of security risks associated with AI systems, models, datasets, and third-party AI services\nAssist in evaluating AI solutions for compliance with internal security requirements and applicable regulations\nSupport security investigations related to AI systems and integrations\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, Cloud Security, or related engineering roles\n2+ years of experience supporting or securing AI/ML/GenAI applications or platforms\nExperience with secure software development lifecycle (SSDLC), application security, and cloud-native security practices\nExperience with AI/ML platforms, APIs, orchestration frameworks, or AI-assisted development environments\nFamiliarity with cloud platforms such as AWS, Azure.\nTechnical Skills\nUnderstanding of AI/ML/GenAI concepts including LLMs, RAG architectures, embeddings, vector databases, and AI agents\nKnowledge of AI-related attack vectors and security risks including prompt injection, indirect prompt injection, insecure tool access, and model abuse\nFamiliarity with OWASP Top 10 for LLM Applications, MITRE ATLAS, and NIST AI RMF concepts\nKnowledge of container security, API security, IAM, secrets management, and cloud security fundamentals\nUnderstanding of secure coding and software security 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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