AI Security Engineer

Socket.dev; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

NXP Semiconductors seeks an AI Security Engineer to secure ML/GenAI/agentic AI solutions across enterprise environments. The role emphasizes identifying risks, implementing secure development practices, and ensuring compliance with NIST AI RMF and OWASP Top 10 for LLMs.

Collaborate with AI solution teams, cloud engineers, and enterprise security to deploy secure AI architectures. You will mitigate prompt injection and data leakage, while guiding secure tooling and governance for AI initiatives.

Qualifications

• Bachelor’s degree in CS, Cybersecurity, Engineering, IT, or related field.
• Advanced degrees such as Masters are preferred.
• 5+ years in Cybersecurity, App Security, Cloud Security, or related roles.
• 2+ years securing AI/ML/GenAI apps or platforms.
• Experience with SSDLC, app security, and cloud-native security.

Responsibilities

• Conduct AI/ML/GenAI security assessments for use cases and platforms.
• Evaluate AI systems for prompt injection, data leakage, and model misuse risks.
• Review AI integrations involving APIs, plugins, MCP servers, tools, vector DBs, data sources.
• Support threat modeling for AI-powered applications and agentic workflows.
• Define and implement AI runtime security controls and monitoring.
• Assist in securing AI gateways, inference endpoints, and service integrations.
• Promote secure development practices across AI/ML/GenAI workflows.
• Engage with Enterprise Architects, security teams, data scientists, and stakeholders.
• Ensure controls align with NIST AI RMF, OWASP Top 10 for LLMs, and best practices.
• Identify and remediate AI security risks across models, data, and third-party services.

Skills

AI/ML concepts

Security risk assessment

Threat modeling

Communication

Collaboration

Education

Bachelor’s degree

Masters preferred

Tools

AWS

Azure

Container security

API security

IAM/secrets management

Job description

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 Opportunity

NXP 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 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

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, Cybersecurity, Engineering, Information Technology, or a related field
• Advanced degrees such as Masters are preferred

Professional Experience

• 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.

Technical Skills

• 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

Soft Skills

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

Certifications (Preferred)

• 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.

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