Full job description

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)

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

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