AI Security Engineer

Relha LLC; Austin, Northern (TX, KY); Hybrid; USD 140,000 - 210,000; Full time

Job summary

NXP Semiconductors is seeking an AI Security Engineer to secure ML/GenAI/Agentic AI solutions across enterprise and engineering environments. You will assess risks, implement runtime security controls, and guide secure AI development with cross-team collaboration.

Ideal candidates have hands-on application security, cloud-native security, and knowledge of AI attack vectors, with experience in securing AI gateways, APIs, and tooling within cloud platforms.

Qualifications

• 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 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.

Responsibilities

• AI Security Assessments: Conduct security assessments for AI/ML/GenAI use cases and platforms.
• AI Runtime Security and Control Implementation: Implement security controls, monitoring, and policy enforcement.
• Secure AI Development and Engineering Practices: Integrate secure development practices into AI/ML/GenAI workflows.
• Collaboration and Stakeholder Engagement: Work with architects, security teams, data scientists, and business stakeholders.
• Risk Management and Compliance: Align controls with NIST AI RMF, OWASP Top 10 for LLM Applications, and secure AI practices.
• Security investigations: Support investigations related to AI systems and integrations.

Skills

AI/GenAI security concepts

Security in cloud computing

Container security

API security

IAM & secrets management

OWASP Top 10 for LLM Applications

Education

Bachelor’s degree in computer science, cybersecurity, engineering, information technology, or a related field

Advanced degrees preferred

Tools

AWS

Azure

Job description

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.

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.