VP, AI Security Architect – Lead

Synchrony

. Define and execute the enterprise AI Security Architecture strategy, principles, standards, reference architectures, and guardrails .

Posted 11/10/2026full-timeUnited StatesSenior💰 $130,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and executing AI Security Architecture strategies, embedding security-by-design across the AI lifecycle, and assessing emerging risks in AI solutions. Proficient in collaborating with cross-functional teams to establish security controls and influence senior stakeholders.

Highest-signal resume keywords

AI Security ArchitectureCloud SecurityIdentity And Access ManagementApplication SecurityCybersecurity Leadership

ATS Keywords

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Hard Skills

CybersecuritySecurity ArchitectureAI Risk Management FrameworkLarge Language ModelsModel Inference APIsDevSecOpsData ProtectionSecurity BlueprintsAutomated GuardrailsThreat Modeling

Soft Skills

Stakeholder ManagementExecutive CommunicationInfluencing Skills

Tools & Technologies

AWSMicrosoft AzureGoogle Cloud PlatformAmazon BedrockAzure OpenAIMicrosoft Copilot

Industry Keywords

OWASPMITRE ATLASZero Trust PrinciplesISO/IEC 42001AI Governance

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityGoogle Cloud Platform

About the role

Key responsibilities & impact

Define and execute the enterprise AI Security Architecture strategy, principles, standards, reference architectures, and guardrails
Create reusable security patterns for Generative AI, copilots, 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 AI threat-modeling 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 stakeholders to automate architecture reviews, threat modeling, control validation, and security testing
Assess emerging risks including 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 on 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

Requirements

What you’ll need

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 databases, embeddings, model gateways, AI agents, orchestration frameworks, managed AI services, and model or inference APIs
Strong foundation in identity and access management, application and API security, cloud security, data protection, secrets and key management, DevSecOps, and software supply-chain security
Knowledge of AI security and risk frameworks such as the OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI Risk Management Framework, and Zero Trust principles
Experience designing or reviewing enterprise-scale architectures on AWS, Microsoft Azure, or Google Cloud Platform
Demonstrated ability to convert technical risks into architecture standards, reusable patterns, engineering requirements, and executive recommendations
Proven success influencing senior stakeholders and driving alignment across organizational boundaries
Executive-level written, verbal, presentation, and stakeholder-management skills
Experience securing platforms such as Amazon Bedrock, Azure OpenAI, Microsoft Copilot, or comparable enterprise AI services
Familiarity with NIST AI RMF, MITRE ATLAS, OWASP guidance, ISO/IEC 42001, and evolving AI governance expectations
Experience building reference architectures, security blueprints, automated guardrails, and scalable control-assurance capabilities
Legal authorization to work in the U.S.; employment visa sponsorship is not available
Must be at least 18 years old
Must have a high school diploma or equivalent
Must be willing to take a drug test, submit to a background investigation, and submit fingerprints as part of onboarding
Must satisfy Section 19 of the Federal Deposit Insurance Act

Benefits

Comp & perks

Annual bonus based on individual and company performance
Option to work from home near one of Synchrony’s Hubs or come into one of its offices
Flexibility in working arrangements
Inclusive culture and Employee Resource Groups (ERGs)
Reasonable accommodations for applicants and employees with disabilities