AI Security Engineer - Austin (Oakhill, Office), United States
Originally posted 12 September 2026 by the employer.
About the role
The AI Security Engineer will be responsible for securing Machine Learning (ML), Generative AI (GenAI), and Agentic AI solutions deployed across enterprise and engineering environments.
What you'll do
- Conduct security assessments for AI/ML/GenAI use cases and platforms, evaluating systems for risks related to prompt injection, insecure outputs, data leakage, unsafe tool execution, model misuse, and retrieval poisoning.
- Support the implementation of AI runtime security controls, monitoring, and policy enforcement mechanisms.
- Collaborate with engineering teams to integrate secure development practices into AI/ML/GenAI workflows.
- Support AI onboarding and security review processes for new AI initiatives and platforms.
- Support implementation of controls aligned with industry frameworks such as NIST AI RMF and OWASP Top 10 for LLM Applications.
- Identify and support remediation of security risks associated with AI systems, models, datasets, and third-party AI services.
What you'll need
- Bachelor’s degree in computer science, Cybersecurity, Engineering, Information Technology, or a related field.
- 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.
- 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.
Nice to have
- Advanced degrees such as Masters.
- AI/ML-related and cybersecurity certifications.
Skills: ai security assessments, prompt injection, runtime security controls, secure ai development, owasp top 10 for llm, nist ai rmf
This role has been open 33 days — well below the 58-day median for Hardware Security Engineering roles.
Hardware Security Engineering · Hardware Security
|
Open roles in category
184
|
Median days open
58 d
|
Median salary
$229k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NXP Semiconductors | All employers we track in this specialty (184 roles · 47 employers) |
|---|---|---|
| Open roles in this specialty | 23 | 184 |
| Median days open | 105 d | 58 d (+47 d vs this employer) |
| Median salary (USD postings) | — | $229k |
Skills observed across this category: ai security assessments, prompt injection, runtime security controls, secure ai development, owasp top 10 for llm, nist ai rmf
Who's hiring in this category
- NVIDIA · 27 open roles · median 33 d
- NXP Semiconductors (this employer) · 23 open roles · median 105 d
- Qualcomm · 17 open roles · median 119 d
- Arm Holdings · 13 open roles · median 99 d
- STMicroelectronics · 11 open roles · median 17 d
- AMD · 9 open roles · median 41 d
How we counted: 184 open Hardware Security Engineering (Hardware Security) roles from 47 employers tracked in the SemiconductorJobs index, counted 15 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.