Cadence

AI Security Architect

United States · Work style not stated · Full time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerCadence
  • LocationUnited States
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

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)

Show full description

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.

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At a glance

  • Employment typeFull time
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

Azure Machine learning

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