AI Security Architect

Job Description

Job Title: AI Security Architect

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Job Type: Fulltime

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Client Location: New York, NY

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Work Arrangement: Onsite Position from day one

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Must Have Technical/Functional Skills

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• AI and GenAI security architecture
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• Secure LLM deployment patterns
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• AI/ML threat modeling and security risk assessment
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• Prompt injection, jailbreak, data leakage, and model abuse controls
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• Retrieval-Augmented Generation security
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• Vector database and embedding security
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• AI agents, tool access, plugins, and API security
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• Sensitive-data protection, DLP, encryption, and access control for GenAI
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• AI model and software supply-chain security
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• AI red teaming, security testing, monitoring, and incident response
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• AI governance and Responsible AI controls
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• NIST AI Risk Management Framework and OWASP guidance for LLM applications
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• Azure OpenAI, AWS Bedrock, Google Vertex AI, or comparable platforms
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• Financial services, model-risk, or regulated-industry experience
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Roles & Responsibilities

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• Define secure reference architectures and deployment patterns for AI and GenAI solutions.
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• Perform threat modeling and risk assessments for LLM, RAG, agentic AI, and machine-learning use cases.
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• Design safeguards against prompt injection, jailbreaks, sensitive-data exposure, insecure output handling, and unauthorized tool use.
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• Establish security controls for model access, training and grounding data, vector stores, APIs, plugins, and AI agents.
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• Define AI security governance, control standards, design-review criteria, and risk-acceptance processes.
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• Partner with data, cloud, privacy, model-risk, application-security, and business teams.
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• Lead AI security assessments, proofs of concept, red-team exercises, and executive workshops.
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• Monitor emerging AI threats and translate them into practical enterprise security controls.
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• Support proactive opportunity mining and development of AI security offerings.
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Generic Managerial Skills, If any

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