AI Security Architect

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

• Bachelors or Masters 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 $164500 to $305500. 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.

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