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.

📌 AI Security Engineer (Bengaluru)
🏢 DAMAC Digital
📍 Bengaluru