Job Title: Information Security Analyst – AI Security & Governance
Desired Location: Columbus, OH
Client office is in New Albany, OH - Hybrid model
Rate: $60 C2C
Job Description
We are seeking an Information Security Analyst – AI Security & Governance to support the secure and scalable adoption of Artificial Intelligence across the enterprise. This role serves as the bridge between Information Security, Enterprise Architecture, and AI Enablement, ensuring AI technologies are deployed securely while enabling innovation.
The ideal candidate will have experience in Information Security, Security Architecture, Cloud Security, API Security, AI/LLM technologies, and Governance, with strong knowledge of security risk assessments, secure architecture reviews, and AI governance frameworks.
Responsibilities
- Serve as the primary intake point for AI security reviews and evaluate AI/LLM/Agent use cases.
- Design and implement security guardrails supporting Microsoft Copilot Agent lifecycle.
- Review AI architectures including LLM Gateways, MCP Gateways, API Gateways, and cloud integrations.
- Define and implement AI security governance policies and technical guardrails.
- Deploy and operationalize Security for AI tooling in collaboration with Security and Collaboration teams.
- Guide engineering teams on secure AI design patterns and approved enterprise AI solutions.
- Perform AI data classification, sensitivity, and risk assessments.
- Partner with Legal, Privacy, Procurement, Enterprise Architecture, and Engineering teams to ensure AI compliance.
- Monitor AI-specific threats such as prompt injection, model abuse, jailbreaks, and data leakage.
- Document governance decisions, security findings, and risk assessments.
- Support enterprise AI governance reporting and security metrics.
Required Qualifications
- Bachelor's degree in Information Security, Computer Science, MIS, or related field (or equivalent experience).
- 3–6+ years of experience in Information Security, Security Architecture, or Cyber Security.
- Experience reviewing application architectures, APIs, and cloud-based solutions.
- Understanding of AI/LLMs, Generative AI, or AI agent platforms.
- Knowledge of:
- Information Security
- Security Architecture
- Cloud Security
- API Security
- Data Protection
- Identity & Access Management (IAM)
- Secure Design Principles
- Risk Assessment
- Security Governance
- Excellent communication and stakeholder management skills.
Preferred Qualifications
- Azure OpenAI
- Microsoft Copilot
- Google Gemini
- OpenAI APIs
- AI Governance
- AI Security
- API Gateway technologies
- AI Risk Management
- Prompt Injection mitigation
- Microsoft Purview
- Microsoft Defender
- NIST AI Risk Management Framework (AI RMF)
- OWASP Top 10 for LLM Applications
- ISO 42001
- Zero Trust Architecture
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