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AI and Cloud Security Engineer
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Job Description
Overview TD SYNNEX (NYSE: SNX) is the world's largest IT distributor, and we are accelerating AI adoption across Azure AI Foundry, AWS Bedrock, Copilot Studio, Databricks, and self-hosted agent environments.
Our security philosophy is distinctive: rather than slowing innovation with pre-approval gatekeeping, we operate a runtime-first, default-allow security posture — every AI interaction is intercepted, analyzed, and enforced at the moment of execution.
In our architecture, the traditional network perimeter no longer defines the defensive boundary: the AI agent is the perimeter. The AI & Cloud Security team is chartered to make that vision operational. We are seeking senior technical owner of the AI security runtime control plane and detection fabric.
You will build and integrate the inline enforcement pipeline (AI gateway → runtime data protection → intent-based enforcement), tune the policies that keep it fast and low-friction, and serve as the final escalation point for the most complex AI and cloud security incidents.
You will also help implement and participate in operation of a closed-loop defensive system in which continuous red-team findings automatically improve runtime policies, detection logic, and SOC threat models.
You join a team of two AI & Cloud Security Architects and will be the engineering force that turns strategy into operating controls — across a multi-cloud estate (Azure, AWS, GCP).
This role involves collaborating with cross-functional teams to ensure the security of AI and cloud environments, AI applications and infrastructure, addressing potential threats, and maintaining compliance with regulatory standards.
The ideal candidate will have a strong background in AI technologies and their implementation as well as cloud security, security principles and cybersecurity best practices. The ability to develop automation in both AI and cloud environments with infrastructure as code (IaC) or policy as code principles is required.
The engineer will
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