[Hiring] AI and Cloud Security Engineer @Tech Data Advanced Private Limited

Role Description

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 a 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.
• Serve as the final escalation point for the most complex AI and cloud security incidents.
• Help implement and participate in operation of a closed-loop defensive system.
• Collaborate with cross-functional teams to ensure the security of AI and cloud environments.

Qualifications

• Strong background in AI technologies and their implementation.
• Experience in cloud security, security principles, and cybersecurity best practices.
• Ability to develop automation in both AI and cloud environments with infrastructure as code (IaC) or policy as code principles.
• Strong working relationships with IT and application development leadership.

Requirements

• Integration — build and own the AI runtime control plane.
• Engineer, deploy and operate the inline enforcement pipeline for AI traffic.
• Harden the gateway layer for resilience.
• Integrate the wider AI security ecosystem into one coherent system.
• Policy tuning — enforce without friction.
• Operate the closed loop.
• L3 coverage — final escalation for the AI Security toolset.
• Evaluate and pilot AI security vendors.
• Engineer and operate cloud security controls across Azure, AWS, and GCP.
• Design and maintain secure multi-cloud patterns consistent with company approved architectural blueprint.
• Embed security into DevSecOps.
• Support cloud workload vulnerability management.

Benefits

• Elective Benefits tailored to your country.
• Formal programs on leadership and professional development.
• Boost your financial, physical, and mental well-being through seminars and events.
• Participate in internal, peer-led inclusive communities and activities.