AI Security & Governance Architect

AI Security & Governance Architect

Summary

We are seeking an AI Security & Governance Architect to develop and lead enterprise frameworks that ensure the ethical, secure, and compliant adoption of AI within the financial organization. This Architect will bridge cybersecurity, risk management, and AI lifecycle governance to safeguard sensitive data and models against threats, while meeting regulatory obligations. As the AI Security & Governance Architect, you will also provide strategic leadership across IT, risk, compliance, and business functions to embed responsible AI practices, strengthen resilience against AI-specific risks, and enable innovation in a secure and controlled manner.

Responsibilities

• Define and implement enterprise-wide AI governance frameworks to ensure responsible, ethical, and compliant use of AI in financial operations.
• Develop and enforce AI security standards aligned with regulatory requirements (e.g., FFIEC, OCC, GLBA, GDPR, ISO 42001, NIST AI RMF).
• Partner with risk, compliance, and legal teams to create policies covering AI model lifecycle management, bias detection, explainability, and auditability.
• Oversee secure AI/ML solution deployment in both on-premises and Cloud environments (AWS, Azure, GCP), ensuring robust data protection and encryption practices.
• Conduct AI security risk assessments, threat modeling, and red team testing for generative AI and predictive models.
• Establish monitoring frameworks for AI systems to track drift, anomalies, and adversarial threats.
• Provide architectural guidance on integrating AI platforms with existing systems.
• Lead AI security incident response and ensure remediation processes meet financial regulatory standards.
• Serve as a subject matter expert for internal stakeholders on AI governance, regulatory compliance, and ethical AI adoption.

Requirements

• 8 years of professional experience in enterprise architecture, information security, or technology governance.
• Proven track record of success in implementing governance frameworks, risk management strategies, and compliance programs for emerging technologies.
• Experience collaborating with auditors, regulators, and compliance teams.
• Solid understanding of AI/ML lifecycle management including model development, validation, deployment, and monitoring.
• Knowledge of data governance principles, MDM (Golden record, Canonical models), and regulatory compliance in financial services.
• Proficiency in Cloud-native AI/ML platforms (AWS SageMaker, Bedrock, Azure AI, GCP Vertex).
• Familiarity with security frameworks (NIST, ISO 27001/42001, CIS controls).
• Ability to translate complex AI and security concepts into business-friendly language.
• Experience delivering presentations to executive leadership and regulators.

Preferred

• Master's degree in Information Security, Artificial Intelligence, or a related discipline.
• Experience in financial services or regulated industries.
• Demonstrated leadership in AI governance, cybersecurity, or enterprise architecture initiatives.
• Certifications including CISSP, CISM, ISO 42001 Lead Auditor, or Certified AI Governance Professional.
• Hands-on experience with AI observability tools (e.g., Fiddler, Arize AI, MLflow).
• Familiarity with secure federated learning, differential privacy, and adversarial ML defenses.
• Experience leading cross-functional AI security initiatives in regulated industries.
• Advanced knowledge of cryptography, data anonymization, and AI-driven fraud detection techniques.

This is a 6-month Contract-for-Hire opportunity with our Kansas City, MO, client. 100% Paid employee Medical/Dental Benefits, Paid time off, Paid Holidays, and 401(k)(with immediately-vested company match) available with TriCom during the contract period. H1-B Visa sponsorship is not available for this position. No third-parties, please.

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