Job Description
Job Description AI Security Architect
Employment Type: Contract-to-Hire
Location: Columbia, SC (Hybrid 3 days onsite and 2 days remote)
Interview Process: 3 rounds First two rounds via Microsoft Teams; final round in person at The Tower
Position Overview
The AI Security Architect within the Office of the Chief Information Security Officer will support the secure adoption of artificial intelligence across Client Client of South Carolina. This role will translate AI security, risk, privacy, and compliance requirements into practical architecture patterns, controls, and implementation guidance.
The AI Security Architect will partner with Enterprise Architecture, I/S Delivery, Data Governance, Privacy, IAM, Vendor Risk, CSOC, Legal, Compliance, Audit, and business teams to ensure AI solutions are securely designed, reviewed, implemented, and monitored.
Required Qualifications and Skills
- 9 years of IT experience.
- Proven experience managing joint IS/Business teams through strategic challenges and business objectives.
- Strong experience with AI security architecture, AI risk, security controls, privacy, and compliance.
- Experience developing AI security standards, reference architectures, control requirements, and secure design patterns.
- Experience with GARAK or LLM testing/red-teaming tools.
- Experience with prompt engineering and regression testing.
- Experience conducting architecture and security reviews for AI solutions, including:
- Data handling
- Access controls
- Encryption
- Logging and monitoring
- Data retention
- Output handling
- Integration safeguards
- Experience with AI threat modeling, including risks such as:
- Prompt injection
- Data leakage
- Unauthorized access
- Model misuse
- Insecure connectors
- Machine identity exposure
- AI-enabled impersonation
Preferred Qualifications
- Experience working with Enterprise Architecture, IAM, Data Governance, Privacy, Vendor Risk, CSOC, Legal, Compliance, or Audit teams.
- Experience establishing enterprise-wide AI governance and security frameworks.
- Experience evaluating AI vendors, models, integrations, connectors, plugins, and AI-enabled applications.
- Experience in a large enterprise or highly regulated environment.