AI Security Architect

Synchrony Systems, Inc.; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Onsite from day one

Job summary

Synchrony Systems, Inc. is seeking an experienced AI Security Architect to design secure GenAI solutions from inception to deployment. You will lead threat modeling, risk assessments, and safety controls across platforms such as Azure OpenAI, AWS Bedrock, and Vertex AI.

Join a team focusing on secure reference architectures, policy enforcement, and incident response to protect sensitive data and ensure regulatory compliance in financial services contexts.

Qualifications

• Experience designing secure AI/GenAI architectures.
• Ability to perform threat modeling for LLM, RAG, agentic AI.
• Knowledge of prompt safety, jailbreaks and data leakage controls.
• Familiarity with vector stores, embeddings and AI pipelines security.

Responsibilities

• Lead AI security assessments, red-team exercises, and PoCs.
• Develop secure reference architectures and deployment patterns for AI/GenAI solutions.
• Define AI security governance, control standards, and risk-acceptance processes.
• Collaborate with data, cloud, privacy, and business teams to implement controls.

Skills

AI security architecture

Threat modeling

Prompt injection controls

Data leakage prevention

Model-risk governance

Security testing

Incident response

NIST RMF & OWASP

Cloud platforms (Azure OpenAI, AWS Bed

Job description

Work Arrangement: Onsite Position from day one

Must Have Technical/Functional Skills

• AI and GenAI security architecture
• AI/ML threat modeling and security risk assessment
• Prompt injection, jailbreak, data leakage, and model abuse controls
• Retrieval-Augmented Generation security
• Vector database and embedding security
• AI agents, tool access, plugins, and API security
• Sensitive-data protection, DLP, encryption, and access control for GenAI
• AI model and software supply-chain security
• AI red teaming, security testing, monitoring, and incident response
• AI governance and Responsible AI controls
• NIST AI Risk Management Framework and OWASP guidance for LLM applications
• Azure OpenAI, AWS Bedrock, Google Vertex AI, or comparable platforms
• Financial services, model-risk, or regulated-industry experience
• Define secure reference architectures and deployment patterns for AI and GenAI solutions.
• Perform threat modeling and risk assessments for LLM, RAG, agentic AI, and machine-learning use cases.
• Design safeguards against prompt injection, jailbreaks, sensitive-data exposure, insecure output handling, and unauthorized tool use.
• Establish security controls for model access, training and grounding data, vector stores, APIs, plugins, and AI agents.
• Define AI security governance, control standards, design-review criteria, and risk-acceptance processes.
• Partner with data, cloud, privacy, model-risk, application-security, and business teams.
• Lead AI security assessments, proofs of concept, red-team exercises, and executive workshops.
• Monitor emerging AI threats and translate them into practical enterprise security controls.
• Support proactive opportunity mining and development of AI security offerings.

Generic Managerial Skills, If any

• Executive and client stakeholder communication
• AI security advisory and workshop facilitation
• Cross-functional leadership
• Security roadmap and control-framework development
• Presales, solution development, and opportunity identification
• Ability to translate technical AI risks into business language