AI Security Engineer

Job Position: AI Security Engineer

The 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.

NXP is a global player in Semiconductor industry and security is an essential and integral part of our business.

• Conduct security assessments for AI/ML/GenAI use cases and platforms
• Evaluate AI systems for risks related to prompt injection insecure outputs data leakage unsafe tool execution model misuse and retrieval poisoning
• Review AI integrations involving APIs plugins MCP servers external tools vector databases and enterprise data sources
• Support threat modeling activities for AI-powered applications and agentic workflows

AI Runtime Security and Control Implementation

• 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

• Bachelors 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 addition NXP will provide reasonable accommodations for otherwise qualified disabled individuals.