IT Risk and Compliance Analyst (AI Governance & Agentic AI Program)
Remote — Eligible Locations: AZ, FL, GA, IN, SC, NC, TX, TN, KY
Type: Long Term Contract
CornerStone Technology Talent Services is seeking a skilled AI Governance & Agentic AI Program Specialist to support the ongoing build-out and maturation of an enterprise AI Governance Program. This role focuses on responsible AI development and deployment, regulatory alignment, and risk mitigation across a wide range of AI use cases. You will collaborate closely with cross-functional partners in Legal, Privacy, Risk, IT, and specialized governance councils.
Key Responsibilities
Use Case Vetting & Documentation
- Support the intake, review, and approval of AI use cases.
- Maintain the internal AI Registry and coordinate review cycles with governance councils.
Stakeholder Engagement & Communication
- Work closely with business owners and suppliers to collect requirements, model information, training data context, metrics, and disclosures for the AI Registry and model cards.
- Help establish and maintain feedback loops on AI governance efforts, program metrics, and new standards or policies.
Program Implementation & Build-Out
- Assist in the implementation of AI Governance processes, frameworks, workflows, and council operations.
- Support the development of new governance workflows, including AI incident response.
- Contribute to dashboards and reporting to support program visibility and performance tracking.
- Help define and refine governance requirements and best practices for agentic AI systems.
Security & Risk Assessment
- Collaborate with Application Security and Risk teams to support the application of frameworks such as OWASP for LLMs.
- Participate in red teaming, security reviews, and documentation of risk assessments.
Training & Literacy
- Assist in creating role-based training and literacy materials to help teams understand and adopt responsible AI principles.
Regulatory Monitoring & Compliance
- Support monitoring of emerging AI regulations, standards, and legislation, and contribute to internal compliance mapping activities.
Qualifications
- Experience in AI governance, data privacy, compliance, or risk management.
- Strong documentation, coordination, and/or project management skills.
- Ability to collaborate effectively across technical and non-technical teams.
- Experience working with legal perspectives on technology topics.
- Strong communication skills and the ability to bridge technical and regulatory domains.
- Interest in or familiarity with AI/ML technologies and their ethical, legal, or operational considerations.
Preferred Qualifications
- Advanced degree or experience in law, computer science, or related fields; experience in legal environments is a plus.
- Relevant certifications such as CIPP/US, CISM, CIPM, or AI governance–related credentials.
- Knowledge of regulatory frameworks such as NIST AI RMF, ISO 42001, EU AI Act, or U.S. data privacy/security laws; familiarity with IP considerations is beneficial.
- Experience with red teaming, application security, or security assessments.
- Understanding of model lifecycle management, auditability, and responsible AI best practices.