Remote Enterprise AI Security Architect Lead

Synchrony; United States; Hybrid; USD 230,000 - 340,000; Full time

Job summary

Synchrony is seeking a VP, AI Security Architect Lead who will define and drive the enterprise security architecture strategy for AI/ML, GenAI, and emerging AI technologies. You will establish practical guardrails, reusable patterns, and scalable assurance capabilities to enable secure innovation while protecting data across the AI lifecycle.

The role partners across Cybersecurity, Technology, Data, AI/ML Engineering, Cloud, Risk, and Business, translating AI threats into actionable architecture

Qualifications

• Bachelor's degree or equivalent in a related field.
• Significant leadership experience in security architecture initiatives.
• Practical knowledge of modern AI architectures (LLMs, RAG, embeddings).
• Strong foundation in IAM, application/API security, cloud security, data protection, and software supply-chain security.
• Familiarity with OWASP Top 10 for LLM Apps, MITRE ATLAS, NIST AI RMF, and Zero Trust.
• Experience designing enterprise-scale architectures on AWS, Azure, or GCP.

Responsibilities

• Define and execute the enterprise AI Security Architecture strategy and guardrails.
• Create reusable security patterns for Generative AI and enterprise AI platforms.
• Lead security architecture assessments across cloud, SaaS, data, and applications.
• Embed security-by-design across the AI lifecycle with threat modeling and testing.
• Align AI threat-modeling with MITRE ATLAS and OWASP guidance; translate into controls.

Skills

Leadership

Security architecture

Cloud security

DevSecOps

Risk management

Stakeholder management

Education

Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or equivalent

Tools

AWS

Azure

Google Cloud Platform

CI/CD security tools

Job description

Synchrony is seeking a VP, AI Security Architect Lead who will define and drive the enterprise security architecture strategy for AI/ML, GenAI, and emerging AI technologies. You will establish practical guardrails, reusable patterns, and scalable assurance capabilities to enable secure innovation while protecting data across the AI lifecycle.

The role partners across Cybersecurity, Technology, Data, AI/ML Engineering, Cloud, Risk, and Business, translating AI threats into actionable architecture