AI Governance & Security Architect

AI Governance & Security Architect

1467941

• Hourly pay: $115/hr
• Worksite:
  Leading audio, video, and voice technologies company (Remote, Candidates must be located in the United States)
• W2 Employment,
  Group Medical, Dental, Vision, Life,
  Retirement Savings Program
• 40 hours/week, 6 Month Assignment

A leading video, audio, and voice technologies company is seeking an AI Governance & Security Architect. The successful candidate will design and lead enterprise frameworks that ensure ethical, compliant, and resilient AI practices across our company globally.

• Integrate cybersecurity, risk management, and AI lifecycle governance to protect sensitive data and models from emerging threats while meeting regulatory and client obligations.
• Collaborate and Influence:
  Build strong partnerships across business units to ensure security is embedded from design through implementation in products and services.
• Be the Expert:
  Act as a trusted advisor and subject matter expert across security domains, guiding stakeholders on best practices.
• Shape Governance:
  Define and implement enterprise-wide AI governance frameworks that promote ethical, secure, and compliant AI use.
• Set Standards:
  Develop and enforce AI security standards aligned with regulatory and industry benchmarks (ISO 42001, NIST AI RMF, SANS, CSA, OWASP).
• Secure Deployments:
  Oversee AI/ML solution deployment in on-premises and cloud environments (AWS, Azure, GCP) with robust data protection and encryption.

• 7+ years of experience in enterprise architecture, information security, or technology governance (or equivalent experience).
• Proven success implementing governance frameworks, risk strategies, and compliance programs for emerging technologies.
• Bachelor’s degree in Computer Science, Cybersecurity, Data Science, or related field.
• Deep understanding of AI/ML lifecycle management, from development to monitoring.
• Experience working with auditors, regulators, and compliance teams.
• Proficiency in cloud-native AI/ML platforms (AWS Sage Maker, Bedrock, Azure AI, GCP Vertex).
• Familiarity with security frameworks (NIST, ISO 27001, ISO 42001, CIS Controls).
• Strong communication skills and ability to engage with stakeholders at all levels.
• Leadership skills to mentor and guide team members effectively.
• Expertise in risk management principles and processes.
• Hands-on offensive security experience.
• Experience with security tools or prior roles in engineering, site reliability, or administration.