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AI Security Architect

San Jose, CA, US • Posted 21 hours ago • Updated 8 hours ago

Full Time

On-site

USD $164,500.00 - 305,500.00 per year

Fitment

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Job Details

Skills

Cadence
Information Security
FOCUS
SAFE
Innovation
Security Architecture
Security Controls
Large Language Models (LLMs)
Generative Artificial Intelligence (AI)
Risk Management
Risk Management Framework
Data Security
Training
Data Governance
HIPAA
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
IBM SmartCloud
Extraction
Storage
Access Control
Regulatory Compliance
ISO 9000
Auditing
Reporting
Collaboration
Leadership
Product Development
Mentorship
Computer Science
Cyber Security
Network
API
Microservices
Encryption
Management
Use Cases
Microsoft Certified Professional
Prompt Engineering
Machine Learning (ML)
Amazon SageMaker
SIEM
CISSP
Cisco Certifications
Cloud Security
Semiconductors
Artificial Intelligence
Threat Modeling
Machine Learning Operations (ML Ops)
DevSecOps
Privacy
Cloud Computing
Compliance Management
Sales

Summary

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.

Key Responsibilities

AI/ML Security Architecture

Design secure architectures for AI/ML systems, including model training, inference, and deployment pipelines
Define security controls for LLMs (Large Language Models), GenAI platforms, and AI APIs
Embed security into MLOps pipelines (DevSecOps for AI)

Threat Modeling & Risk Management

Conduct threat modeling for AI systems (e.g., prompt injection, model poisoning, data leakage)
Develop risk frameworks aligned with NIST AI Risk Management Framework
Identify and mitigate adversarial AI threats and abuse cases

Data Security & Privacy

Ensure protection of training and inference data (PII, PHI, proprietary data)
Implement data governance, anonymization, and encryption strategies
Ensure compliance with regulations (GDPR, HIPAA, etc.)

Cloud & Platform Security

Secure AI workloads across cloud platforms such as
- Amazon Web Service
- Microsoft Azure
- Google Cloud
- IBM Cloud
Architect secure integrations with AI services and APIs

Model Security & Integrity

Protect against model theft, inversion, and extraction attacks
Implement model monitoring for drift, anomalies, and abuse
Ensure secure model storage, versioning, and access control

Governance & Compliance

Establish AI security policies, standards, and guardrails
Align with industry AI frameworks such as
- ISO AI standards (e.g., ISO/IEC 42001)
Support audit, regulatory, and CIO and CISO reporting

Collaboration & Leadership

Partner with data scientists, ML engineers, and product teams
Provide security guidance for AI product development
Lead security reviews and architecture boards
Mentor security engineers on AI-specific threats

Required Qualifications

Bachelor's or Master's degree in Computer Science, Cybersecurity, or related field
8+ years in cybersecurity architecture or engineering
Experience securing AI/ML systems or data platforms
Strong understanding of:
- Cloud security (IAM, network, containers, serverless)
- API security and microservices
- Encryption, key management, and identity systems
- Development of Agent and Agentic AI for security use cases
- Experience with MCP

Preferred Qualifications

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

The annual salary range for California is $164,500 to $305,500. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.
We're doing work that matters. Help us solve what others can't.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: CADENCE
Position Id: 3c26005e24c6e6f1a096e69ce953fda8
Posted 21 hours ago

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