Cybersecurity Architect

Cybersecurity Architect – AI Security (LLM / Guardrails / Enterprise Architecture)

100% REMOTE!
W2 Contract Only | No C2C / No 1099 / No Third-Party Vendors
Must have permanent residency or citizenship

SUMMARY STATEMENT

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.

ESSENTIAL 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.

REQUIRED EXPERIENCE

• 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.

REQUIRED CERTIFICATIONS

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

PREFERRED QUALIFICATIONS

• 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.

ADDITIONAL REQUIREMENTS

• 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.