AI Security Architect - San Jose, United States
$164,500 - $305,500 USD yearly
Originally posted 29 July 2026 by the employer.
Focus on securing enterprise GenAI applications, LLMs, and MLOps pipelines against adversarial AI threats and model theft.
About the role
Cadence InfoSec is seeking an AI Security Architect to design, implement, and govern secure AI systems across the enterprise. The role focuses on protecting AI/ML models, data pipelines, and GenAI applications from threats including prompt injection, model poisoning, and data leakage.
What you'll do
- Design secure architectures for AI/ML systems across model training, inference, and deployment pipelines. - Define security controls for LLMs, GenAI platforms, and AI APIs, and integrate security into MLOps pipelines. - Conduct threat modeling for AI systems addressing prompt injection, model poisoning, data leakage, and adversarial AI abuse cases. - Implement data protection, governance, anonymization, and encryption strategies for training and inference data across cloud platforms including AWS, Azure, Google Cloud, and IBM Cloud. - Protect against model theft, inversion, and extraction attacks, and implement monitoring for model drift, anomalies, and abuse. - Establish AI security policies aligned with the NIST AI Risk Management Framework and ISO/IEC 42001 standards.
What you'll need
- Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related field. - 8+ years of experience in cybersecurity architecture or engineering. - Experience securing AI/ML systems or data platforms. - Strong understanding of cloud security (IAM, network, containers, serverless), API security, microservices, encryption, key management, and identity systems. - Experience developing Agent and Agentic AI for security use cases. - Experience with MCP.
Nice to have
- Experience with LLMs (such as prompt engineering and RAG architectures). - Familiarity with adversarial ML techniques. - Knowledge of tools such as MLflow, Kubeflow, SageMaker, and SIEM/XDR platforms. - CISSP, CCSP, or cloud security certifications. - Experience in the semiconductor industry.
Skills: AI/ML security architecture, LLMs security, MLOps pipelines, threat modeling, adversarial AI
This role has been open 164 days — well above the 62-day median for Hardware Security Engineering roles.
Hardware Security Engineering · Hardware Security
|
Open roles in category
180
|
Median days open
62 d
|
Median salary
$224k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Cadence Design Systems | All employers we track in this specialty (180 roles · 42 employers) |
|---|---|---|
| Open roles in this specialty | 3 | 180 |
| Median days open | 150 d | 62 d (+88 d vs this employer) |
| Median salary (USD postings) | — | $224k |
Skills observed across this category: AI/ML security architecture, LLMs security, MLOps pipelines, threat modeling, adversarial AI
Who's hiring in this category
- NVIDIA · 31 open roles · median 38 d
- NXP Semiconductors · 23 open roles · median 93 d
- Qualcomm · 17 open roles · median 128 d
- Arm Holdings · 13 open roles · median 108 d
- STMicroelectronics · 9 open roles · median 26 d
- AMD · 8 open roles · median 64 d
How we counted: 180 open Hardware Security Engineering (Hardware Security) roles from 42 employers tracked in the SemiconductorJobs index, counted 24 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.