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.