AI Governance & Security Architect

Dolby Sound Laboratories•Atlanta, GA

56d

About The Position

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We're big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work. The Finance & IT function works to accelerate business growth through ensuring that the company's operations run efficiently and effectively, ultimately enabling the achievement of company goals. Position Overview Dolby is looking for a visionary AI Governance & Security Architect to help shape the future of secure and responsible AI adoption. In this role, you'll design and lead enterprise frameworks that ensure ethical, compliant, and resilient AI practices across Dolby globally. You'll integrate cybersecurity, risk management, and AI lifecycle governance to protect sensitive data and models from emerging threats while meeting regulatory and client obligations. Your work will influence strategic decisions across business functions, embedding responsible AI principles, mitigating AI-specific risks, and enabling innovation in a secure and controlled environment. This position offers opportunities to lead multiple initiatives under the guidance of Information Security leadership.

Requirements

A collaborative mindset and a passion for learning.
Bachelor's degree in Computer Science, Cybersecurity, Data Science, or related field, plus 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.
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.
Ability to work independently in a fast-paced environment while fostering collaboration and creative problem-solving.
Leadership skills to mentor and guide team members effectively.

Nice To Haves

Exceptional interpersonal skills.
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.

Responsibilities

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.
Assess and Test: Conduct AI security risk assessments, threat modeling, and red team exercises for generative and predictive models.
Respond and Remediate: Support AI security incident response and ensure effective remediation processes.
Educate and Mentor: Provide guidance on AI governance, compliance, privacy, and ethical AI adoption; mentor team members on best practices.

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