AI Security Architect

Title: AI Security Architect
Location: Remote
Duration: 6 Months+
Experience Range: 10-15 years

Overview
Our client is seeking an AI Security Architecture Consultant to support the secure design, development, and deployment of AI/ML and Generative AI solutions across the enterprise. This role will partner with engineering, data science, cloud, platform, and security teams to establish security requirements, governance controls, and architecture standards for AI adoption.


Responsibilities
Define secure architectures for AI/ML and Generative AI workloads
Perform threat modeling across AI systems, including training and inference environments
Establish security controls across the AI lifecycle, including data protection and governance requirements
Define guardrails for GenAI safety, misuse prevention, and secure tool execution
Partner with cloud, IAM, and security teams to implement secure access controls
Review AI solution designs for compliance with enterprise security standards
Support model governance, auditability, monitoring, and incident response readiness
Develop AI security standards, implementation guidance, and best practices
Requirements
8+ years of experience in Security Architecture or Security Engineering
Strong understanding of AI/ML and Generative AI architectures, including RAG, vector databases, model endpoints, and AI agents
Experience securing cloud-native applications and APIs within AWS, Azure, or GCP
Strong background in application security, API security, threat modeling, and secure SDLC practices
Experience mitigating AI security risks including prompt injection, data leakage, model theft, and model poisoning
Experience with IAM, encryption, secrets management, logging, and monitoring controls
Strong communication and stakeholder management skills
Experience with enterprise GenAI platforms, AI governance, or regulated environments preferred