[Hiring] AI Security Architect @American Recruiting & Consulting Group

Role Description

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.

Essential 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.

Qualifications

• 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, and 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.

Requirements

• CISSP (REQUIRED at time of submission). Certification number must be included on resume and will be validated during background screening.

Preferred Qualifications

• 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.

Additional Requirements

• 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.