AI Security Architect

American Recruiting & Consulting Group•Jacksonville, FL

4h•Remote

About The Position

ARC Group is seeking an experienced AI Security Architect for a direct client in the healthcare insurance domain. This role is responsible for designing and implementing enterprise AI security architecture, with a strong focus on securing locally hosted AI/LLM models, defining and enforcing AI guardrails, and establishing security standards, blueprints, and governance frameworks across AI-driven platforms. This is a true Architect-level role requiring hands-on experience in AI security design, threat modeling, and control implementation across the full AI lifecycle.

Requirements

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.
CISSP (REQUIRED at time of submission)
Certification number must be included on resume
Will be validated during background screening
Must demonstrate true architecture ownership (not just implementation or support roles).
Must have current, hands-on involvement in AI security architecture initiatives.
Strong communication skills with ability to explain complex security architectures to technical and non-technical stakeholders.
Must be actively staying current with rapidly evolving AI security technologies and threats.

Nice To Haves

Experience in healthcare or other regulated environments (HIPAA, PHI protection).
Experience working in Agile / Scaled Agile environments.
Exposure to AI governance frameworks, compliance, or risk management practices.
Experience with enterprise security monitoring, metrics, and risk reporting.

Responsibilities

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.