AI Governance & Security Architect

Avispa Technology•San Francisco, CA

1d•Remote

About The Position

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.

Requirements

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 SageMaker, 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.

Nice To Haves

Hands-on offensive security experience.
Experience with security tools or prior roles in engineering, site reliability, or administration.

Responsibilities

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.