AI Security Architect
Core
Design, implement, and govern secure AI/ML systems, protecting models, data pipelines, and GenAI applications from emerging threats while enabling safe innovation.
Role type
Security Architect specializing in AI/ML security
Builds
Secure AI/ML architectures, MLOps pipelines, and governance frameworks for enterprise AI systems
Domain
Cybersecurity, Artificial Intelligence, Machine Learning, Cloud Security
Deliverable
production ML models | infrastructure
Required skills
AI/ML security architecture, Threat modeling for AI systems, Risk framework development, Data governance and privacy, Cloud security (IAM, network, containers), API security, Encryption and key management, Agent and Agentic AI development, MCP experience
Preferred skills
LLM security (prompt engineering, RAG), Adversarial ML techniques, MLflow, Kubeflow, SageMaker, SIEM/XDR platforms, CISSP/CCSP certifications, Semiconductor industry experience
Technologies
Amazon Web Service, Microsoft Azure, Google Cloud, IBM Cloud, MLflow, Kubeflow, SageMaker
Responsibilities
Design secure architectures for AI/ML systems including training and inference pipelines, Conduct threat modeling for AI systems (prompt injection, model poisoning), Ensure protection of training and inference data, Architect secure integrations with AI services and APIs, Protect against model theft and extraction attacks, Establish AI security policies and standards
Seniority
Senior, hands-on IC with leadership responsibilities
