VP, AI Security Architect Lead

The VP, AI Security Architect Lead will define and drive the enterprise security architecture strategy for Artificial Intelligence, Generative AI, Machine Learning, and emerging AI technologies. This leader will establish practical guardrails, reusable patterns, and scalable assurance capabilities that enable secure innovation while protecting company, customer, and sensitive data.

The VP, AI Security Architect Lead will define and drive the enterprise security architecture strategy for Artificial Intelligence, Generative AI, Machine Learning, and emerging AI technologies. This leader will establish practical guardrails, reusable patterns, and scalable assurance capabilities that enable secure innovation while protecting company, customer, and sensitive data. Serving as a trusted advisor across Cybersecurity, Technology, Data, AI/ML Engineering, Cloud, Risk, and the Business, the role will translate evolving AI threats into actionable architecture and engineering requirements.

The leader will advance AI security from point-in-time reviews to security-by-design through automation, threat modeling, testing, and continuous assurance across the AI lifecycle.

We’re proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices. Occasionally you will be required to commute or travel for in person engagement activities such as business or team meetings, training and culture events.

• Define and execute the enterprise AI Security Architecture strategy, principles, standards, reference architectures, and guardrails.
• Create reusable security patterns for Generative AI, copilots, Retrieval-Augmented Generation (RAG), model and inference APIs, autonomous or agentic AI, and enterprise AI platforms.
• Lead security architecture assessments for high-impact AI solutions across cloud, SaaS, API, data, application, and enterprise technology environments.
• Embed security-by-design across the AI lifecycle, including development, deployment, integration, monitoring, and retirement.
• Establish an AI threat-modeling approach aligned with MITRE ATLAS and OWASP guidance, translating threats into actionable controls and engineering requirements.
• Define controls for model access, identities, service accounts, secrets, APIs, prompts, training and retrieval data, outputs, plugins, tools, and third-party AI services.
• Partner with engineering teams and other stakeholders to automate architecture reviews, threat modeling, control validation, and security testing.
• Assess emerging risks such as prompt injection, data poisoning, sensitive information disclosure, insecure tool interaction, excessive agency, model manipulation, and AI supply-chain compromise.
• Advise senior technology and cybersecurity leaders, clearly communicating architecture decisions, material risks, trade-offs, and recommended actions.
• Build alignment across Cybersecurity, Enterprise Architecture, Cloud, Application Security, Data, AI/ML Engineering, Responsible AI, Privacy, Legal, Compliance, Risk, and Business teams.
• Evaluate emerging AI security technologies and conduct focused proofs of concept to validate enterprise applicability

• Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related discipline, or equivalent relevant experience.
• Significant experience in cybersecurity, security architecture, cloud security, application security, or enterprise architecture, including leadership of complex security initiatives.
• Practical knowledge of modern AI architectures, including Large Language Models, RAG, vector…