Cybersecurity Architect

American Recruiting & Consulting GroupJacksonville, FL
Remote

About The Position

ARC Group is seeking a Cybersecurity Architect – AI Security for a direct client in the healthcare insurance domain. This role focuses on designing and implementing enterprise-level AI security architecture, with a strong emphasis on securing locally hosted AI/LLM models, defining 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, not just tool-based security operations.

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 AI/LLM models (non-SaaS environments).
  • Strong experience implementing AI guardrails, including:
  • Prompt injection prevention
  • Input/output filtering
  • Response validation and policy enforcement
  • Experience designing end-to-end security architecture for AI/ML platforms.
  • Strong understanding of AI/LLM threat landscape, including OWASP Top 10 for LLMs.
  • Experience with enterprise security architecture frameworks and governance models.
  • Hands-on experience with cloud security (AWS/Azure) and enterprise infrastructure security.
  • Strong background in Identity and Access Management (IAM) 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 strong architecture ownership and design leadership, not just implementation experience.
  • Must be actively engaged in staying current with rapidly evolving AI security technologies and threats.
  • Strong communication skills with ability to explain complex security architectures to both technical and non-technical stakeholders.

Nice To Haves

  • Healthcare or regulated industry experience (HIPAA, PHI data protection).
  • Experience working in Agile / Scaled Agile environments.
  • Exposure to AI security frameworks, governance models, or compliance standards.
  • Experience with security monitoring, metrics, and risk reporting at enterprise scale.

Responsibilities

  • Design and implement enterprise AI security architecture for locally hosted AI/LLM platforms, ensuring confidentiality, integrity, and availability of sensitive data.
  • Define and enforce AI guardrails, including prompt filtering, output validation, and protection against prompt injection and data leakage risks.
  • Develop security blueprints, architecture standards, and design patterns for AI and machine learning platforms across the enterprise.
  • Perform AI threat modeling and identify vulnerabilities specific to LLMs, including model misuse, poisoning, and adversarial inputs.
  • Integrate security controls across 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 and enterprise security posture.
  • Collaborate with engineering, data science, and infrastructure teams to ensure secure AI solution design and deployment.
  • Participate in architecture governance, design reviews, and technology selection, ensuring alignment with enterprise security standards.
  • Evaluate and recommend AI security tools, frameworks, and solutions, including build vs. buy analysis.
  • Maintain detailed architecture documentation, security standards, and operational procedures.
  • Provide technical leadership and guidance on emerging AI security threats, trends, and best practices.
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