AI Application Security Engineer (R-10066600)

NXP Semiconductors; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

NXP Semiconductors in Austin, TX seeks an AI Application Security Engineer to secure AI-powered applications, GenAI solutions, and RAG systems across enterprise environments. You will focus on securing the application layer, including authentication, authorization, prompt handling, API integrations, and data access patterns.

You will collaborate with development, AI engineering, and security teams to ensure secure design, deployment, and testing in line with NXP security standards and SSDLC

Qualifications

• SSDLC, security testing, and cloud-native security practices
• Experience with AI/ML platforms, APIs, orchestration frameworks, or AI-assisted development environments
• Familiarity with OWASP Top 10 for LLM Applications, OWASP ASVS, MITRE ATLAS, and NIST AI RMF concepts

Responsibilities

• Conduct application security assessments and secure design reviews for AI-powered applications and GenAI solutions
• Review AI integrations involving APIs, plugins, RAG pipelines, vector databases, and enterprise applications
• Evaluate risks related to prompt injection, insecure outputs, data leakage, insecure APIs, and retrieval poisoning
• Support secure software development lifecycle (SSDLC) practices for AI applications and AI-enabled development workflows
• Collaborate with engineering teams to implement secure coding practices, application-layer controls, and secure authentication and authorization mechanisms
• Support AI application penetration testing, API security testing, and remediation activities
• Assist with validating secure use of AI coding assistants and AI-enabled development tools
• Support implementation of controls aligned with NIST AI RMF, OWASP Top 10 for LLM Applications, and secure application engineering practices

Skills

Application security

Secure coding

API security

Authentication and authorization

Tenant isolation

AI/GenAI concepts

Cloud-native security

Education

Bachelor’s degree in computer science, Cybersecurity, Engineering, Information Technology, or a related field

Masters preferred

Tools

AWS

Azure

Job description

Job Position: AI Application Security Engineer

Role Summary

The AI Application Security Engineer at NXP Semiconductors will be responsible for securing AI-powered applications, APIs, Generative AI (GenAI) solutions, and retrieval-augmented generation (RAG) systems deployed across enterprise and engineering environments. This role focuses on securing the application layer of AI systems, including authentication and authorization flows, prompt handling, API integrations, data access patterns, session management, and secure interaction with enterprise systems.

The AI Application Security Engineer will work closely with application development teams, AI engineering teams, enterprise security, and architecture teams to ensure AI applications are designed, developed, and deployed securely in alignment with NXP security standards and secure software engineering practices.

The ideal candidate will have strong hands-on experience in Application Security, secure coding, API security, cloud-native applications, and modern AI application architectures, with understanding of AI-related risks such as prompt injection, insecure outputs, data leakage, insecure plugins, and retrieval poisoning.

This role will support secure AI application development, architecture reviews, AI application security testing, and implementation of scalable application-layer security controls to enable secure enterprise AI adoption.

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

Job Responsibility

• Conduct application security assessments and secure design reviews for AI-powered applications and GenAI solutions
• Review AI integrations involving APIs, plugins, RAG pipelines, vector databases, and enterprise applications
• Evaluate risks related to prompt injection, insecure outputs, data leakage, insecure APIs, and retrieval poisoning
• Support secure software development lifecycle (SSDLC) practices for AI applications and AI-enabled development workflows
• Collaborate with engineering teams to implement secure coding practices, application-layer controls, and secure authentication and authorization mechanisms
• Support AI application penetration testing, API security testing, and remediation activities
• Assist with validating secure use of AI coding assistants and AI-enabled development tools
• Support implementation of controls aligned with NIST AI RMF, OWASP Top 10 for LLM Applications, and secure application engineering practices

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, Runtime 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), security testing, 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 or Azure

Technical Skills

• Understanding of AI/ML/GenAI concepts including LLMs, RAG architectures, APIs, vector databases, and AI-assisted applications
• Knowledge of application security principles including secure coding, API security, authentication and authorization, and tenant isolation
• Knowledge of AI-related attack vectors including prompt injection, insecure outputs, insecure plugins, and retrieval poisoning
• Familiarity with OWASP Top 10 for LLM Applications, OWASP ASVS, MITRE ATLAS, and NIST AI RMF concepts
• Knowledge of cloud-native application security, container security, IAM, secrets management, 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

NXP Introduction:

NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets.

For more information, please visit our website https://www.nxp.com

The future starts here. Bright Minds. Bright Futures.

We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills.

We Are NXP! Visit our careers website for more job information

Commitment At NXP.

We recognize we can be a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality.