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AI Security Engineer

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Onsite

AI Security Engineer

DAMAC Digital

AI Security Engineer

Skills

NodePythonMachine LearningAIKubernetes

20 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

2 October 2026

What they need


AI Security Engineer

DAMAC AI | Bangalore, India

DAMAC AI is building one of the region's most ambitious AI compute footprints — sovereign cloud, hyperscale data centres and large-scale NVIDIA GPU clusters across the Middle East and Asia. We're hiring an AI Security Engineer to secure it hands-on, from the GPU node through the training pipeline to the inference endpoints our customers depend on.

This is a build role, not a review role. You'll write the code, pipelines and policies that harden multi-tenant AI infrastructure — partnering directly with Compute, Network, Storage, Platform, SRE and NOC.

What You'll Do

  • Harden GPU nodes, Kubernetes clusters and multi-tenant workload boundaries.
  • Secure AI/ML pipelines against data poisoning, model theft and prompt injection.
  • Build SIEM detections and SOAR automation for platform-specific threats.
  • Run vulnerability management and adversarial ML testing, including red-team coordination.
  • Advise Compute, Network, Storage, Platform and SRE teams on secure-by-default design.

What You Bring

  • 6+ years in security engineering, 2+ years on cloud-native, container or ML platforms.
  • Deep Kubernetes security expertise (RBAC, admission control, runtime security).
  • Production Python; hands-on SIEM/SOAR and CI/CD-integrated vulnerability scanning.
  • Fluency in MITRE ATT&CK, OWASP Top 10 and OWASP LLM Top 10.

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