AI Security Engineer

Job Position:AI Security EngineerRole SummaryThe 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.The 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.The 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.This 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.Your OpportunityNXP is a global player in Semiconductor industry, and security is an essential and integral part of our business.Job Responsibility1.AI Security AssessmentsConduct security assessments for AI/ML/GenAI use cases and platformsEvaluate AI systems for risks related to prompt injection, insecure outputs, data leakage, unsafe tool execution, model misuse, and retrieval poisoningReview AI integrations involving APIs, plugins, MCP servers, external tools, vector databases, and enterprise data sourcesSupport threat modeling activities for AI-powered applications and agentic workflowsAI Runtime Security and Control ImplementationSupport the implementation of AI runtime security controls, monitoring, and policy enforcement mechanismsAssist in securing AI gateways, inference endpoints, and AI service integrationsHelp define security guardrails for prompts, agent execution, and model interactionsContribute to observability and monitoring capabilities for AI systems, including logging, auditing, and anomaly detection3.Secure AI Development and Engineering PracticesCollaborate with engineering teams to integrate secure development practices into AI/ML/GenAI workflowsSupport secure deployment and configuration of AI applications across cloud and enterprise environmentsAssist with validating secure use of AI coding assistants and AI-enabled development tools4.Collaboration and Stakeholder EngagementCollaborate with Enterprise Architects, Application Security teams, Cloud Security teams, Data Scientists, AI Engineers, and Business stakeholdersSupport AI onboarding and security review processes for new AI initiatives and platformsProvide security guidance and recommendations to development and product teamsParticipate in discussions related to AI governance, risk management, and enterprise AI adoption5.Risk Management and ComplianceSupport implementation of controls aligned with industry frameworks such as NIST AI RMF, OWASP Top 10 for LLM Applications, and secure AI engineering best practicesIdentify and support remediation of security risks associated with AI systems, models, datasets, and third-party AI servicesAssist in evaluating AI solutions for compliance with internal security requirements and applicable regulationsSupport security investigations related to AI systems and integrationsJob 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, Cloud Security, or related engineering roles2+ years of experience supporting or securing AI/ML/GenAI applications or platformsExperience with secure software development lifecycle (SSDLC), application security, and cloud-native security practicesExperience with AI/ML platforms, APIs, orchestration frameworks, or AI-assisted development environmentsFamiliarity with cloud platforms such as AWS, Azure.Technical SkillsUnderstanding of AI/ML/GenAI concepts including LLMs, RAG architectures, embeddings, vector databases, and AI agentsKnowledge of AI-related attack vectors and security risks including prompt injection, indirect prompt injection, insecure tool access, and model abuseFamiliarity with OWASP Top 10 for LLM Applications, MITRE ATLAS, and NIST AI RMF conceptsKnowledge of container security, API security, IAM, secrets management, and cloud security fundamentalsUnderstanding of secure coding and software security 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