Architect, Senior IS (26-12533)
| Verified Pay check_circle | Provided by the employer$90.79 per hour |
|---|---|
| Hours | Full-time, Part-time |
| Location | Columbia, SC Columbia, South Carolina open_in_new |
Compare Pay
Verified Pay check_circleProvided by the employer$10.44
$13.31
$90.79
About this job
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.