Development of Agent and Agentic AI for security use cases
Experience with MCP
Requirements
Experience with LLMs (e.g., prompt engineering, RAG architectures)
Familiarity with adversarial ML techniques
Knowledge of tools like:
MLflow, Kubeflow, SageMaker
SIEM/XDR platforms
Certifications:
CISSP, CCSP, or cloud security certifications
Experience in semiconductor industry is a plus
Key Skills
AI Threat Modeling (Prompt Injection, Data Poisoning, Model Evasion)
Secure MLOps / DevSecOps
Zero Trust Architecture
Data Privacy & Governance
Cloud-Native Security
Risk & Compliance Management
We're doing work that matters. Help us solve what others can't.
Benefits
Dental insuranceVision insurance401(k)Paid time offEquity / stock optionsPerformance bonus
Additional Information
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Cadence InfoSec seeking a Security Architect with deep expertise in Artificial Intelligence (AI) and Machine Learning (ML) security to design, implement, and govern secure AI systems across the enterprise. This role will focus on protecting AI/ML models, data pipelines, and GenAI applications from emerging threats while enabling safe innovation.
Cadence · San Jose