AI Security Engineer

• →Support the implementation of AI runtime security controls, monitoring, and policy enforcement mechanisms
• →Assist in securing AI gateways, inference endpoints, and AI service integrations
• →Help define security guardrails for prompts, agent execution, and model interactions
• →Contribute to observability and monitoring capabilities for AI systems, including logging, auditing, and anomaly detection

• Collaborate with engineering teams to integrate secure development practices into AI/ML/GenAI workflows
• Support secure deployment and configuration of AI applications across cloud and enterprise environments
• Assist with validating secure use of AI coding assistants and AI-enabled development tools

• Collaborate with Enterprise Architects, Application Security teams, Cloud Security teams, Data Scientists, AI Engineers, and Business stakeholders
• Support AI onboarding and security review processes for new AI initiatives and platforms
• Provide security guidance and recommendations to development and product teams
• Participate in discussions related to AI governance, risk management, and enterprise AI adoption

• Support implementation of controls aligned with industry frameworks such as NIST AI RMF, OWASP Top 10 for LLM Applications, and secure AI engineering best practices
• Identify and support remediation of security risks associated with AI systems, models, datasets, and third-party AI services
• Assist in evaluating AI solutions for compliance with internal security requirements and applicable regulations
• Support security investigations related to AI systems and integrations

• Bachelor’s degree in computer science, Cybersecurity, Engineering, Information Technology, or a related field
• Advanced degrees such as Masters are preferred

• 5+ years of experience in Cybersecurity, Application Security, Cloud Security, or related engineering roles
• 2+ years of experience supporting or securing AI/ML/GenAI applications or platforms
• Experience with secure software development lifecycle (SSDLC), application security, and cloud-native security practices
• Experience with AI/ML platforms, APIs, orchestration frameworks, or AI-assisted development environments
• Familiarity with cloud platforms such as AWS, Azure.

• Understanding of AI/ML/GenAI concepts including LLMs, RAG architectures, embeddings, vector databases, and AI agents
• Knowledge of AI-related attack vectors and security risks including prompt injection, indirect prompt injection, insecure tool access, and model abuse
• Familiarity with OWASP Top 10 for LLM Applications, MITRE ATLAS, and NIST AI RMF concepts
• Knowledge of container security, API security, IAM, secrets management, and cloud security fundamentals
• Understanding of secure coding and software security principles

• Strong analytical and problem-solving skills
• Excellent communication and collaboration abilities
• Ability to manage multiple initiatives in a fast-paced environment

• AI/ML-related and cybersecurity certifications are considered a plus

More 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.