AI Security Architect

American Recruiting & Consulting Group

. Design and implement end-to-end AI security architecture for locally hosted AI/LLM platforms .

Posted 4/21/2026contractRemote • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloudCyber Security

About the role

Key responsibilities & impact

Design and implement end-to-end AI security architecture for locally hosted AI/LLM platforms
Define and enforce AI guardrails , including prompt injection prevention, input/output filtering, and response validation controls
Develop and maintain enterprise security blueprints, architecture standards, and design patterns for AI/ML platforms
Perform AI threat modeling and identify risks such as model misuse, adversarial inputs, and data leakage
Implement security controls across the AI lifecycle , including data ingestion, model training, inference, and output handling
Establish and monitor security metrics and controls to evaluate effectiveness of AI security architecture
Collaborate with engineering, data science, and infrastructure teams to ensure secure AI platform design and deployment
Participate in architecture governance, design reviews, and technology evaluations , including build vs. buy decisions
Evaluate and recommend AI security tools, frameworks, and solutions aligned to enterprise standards
Maintain architecture documentation, security standards, and operational procedures
Provide leadership on emerging AI security threats, vulnerabilities, and industry trends

Requirements

What you’ll need

10+ years of overall cybersecurity experience with strong focus on architecture and design
2+ years of CURRENT hands-on experience in AI security architecture (MANDATORY)
Proven experience securing locally hosted / on-prem AI or LLM models
Hands-on experience implementing AI guardrails , including: Prompt injection prevention, Input/output filtering, Response validation and policy enforcement
Strong experience designing end-to-end security architecture for AI/ML platforms
Deep understanding of AI/LLM threat landscape (prompt injection, data leakage, model abuse)
Experience with enterprise security architecture frameworks and governance models
Hands-on experience with cloud security (AWS and/or Azure)
Strong background in Identity and Access Management (IAM), RBAC, and secure access controls

Benefits

Comp & perks

Equal employment opportunities
Inclusive work environment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI security architectureend-to-end security architectureAI guardrailsprompt injection preventioninput/output filteringresponse validationAI threat modelingdata leakage preventioncloud securityIdentity and Access Management (IAM)

Soft Skills

leadershipcollaborationcommunication