AI Security Engineer

Job Position:

AI Security Engineer Role Summary 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.

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

Job Responsibility
1.AI Security Assessments 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 workflowsAI 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
3.Secure AI Development and Engineering Practices 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
4.Collaboration and Stakeholder Engagement 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
5.Risk Management and Compliance 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

Job Qualification Desired Education Bachelor’s degree in computer science,…