Architect, Senior IS (26-12533)

Title - AI Security Architect – Information Systems
Employment Type: Contract-to-Hire
Location : Columbia SC (Hybrid, 3 days onsite and 2 days remote) 
Interview Process: 3 rounds — first 2 via 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.
• The role will translate AI security, risk, privacy, and compliance requirements into practical architecture patterns, controls, and implementation guidance.
• The position 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.

Must Have

• Bachelor's degree in Computer Science, Business, Engineering, or equivalent qualifying experience.
• 10+ 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 conducting architecture/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

Nice to Have

• 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.
• Education Equivalency

Candidates must meet one of the following:

• Bachelor's degree in Computer Science, Business, or Engineering; OR
  4 years of job-related work experience; OR
• Associate's degree in Computer Science, Business, or Engineering + 2 years of job-related experience.