AI Application Security Engineer

Job Title: AI Application Security Engineer
Grade/Location Preference: G5, Austin, Texas USA
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.
Your Opportunity
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 QualificationDesired 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
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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