Senior AI Security Architect

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Accountabilities - AI Security Architecture: Lead security reviews and assessments for artificial intelligence, Generative AI, machine learning, and AI agent solutions across the enterprise, ensuring that security requirements are integrated throughout the technology lifecycle. - Security Standards and Best Practices: Define and implement AI security architectures, technical standards, and best practices that enable scalable, secure, and responsible AI adoption. - Technology and Vendor Risk Assessment: Evaluate AI platforms, third-party vendors, emerging technologies, and proposed business use cases to identify security risks and recommend appropriate safeguards. - Threat Modeling and Risk Management: Conduct threat modeling, architecture reviews, and enterprise risk assessments for AI applications and platforms, identifying vulnerabilities and developing mitigation strategies. - AI-Specific Security Controls: Establish security guardrails for large language models, AI copilots, retrieval-augmented generation (RAG) solutions, autonomous AI agents, and related technologies. Address risks such as prompt injection, data leakage, model poisoning, adversarial attacks, and unauthorized model access. - AI Governance and Compliance: Support enterprise AI governance initiatives by defining security requirements, approval processes, monitoring mechanisms, and risk management practices aligned with organizational policies and applicable regulatory expectations. - Cross-Functional Collab

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