AI Security Architect (Staff Level)

• AI Security Architect - Staff Level

📍 Abu Dhabi Relocation | Onsite | Build Secure AI at Scale

• $9,000 – $13,000/month, 100% tax-free, giving you strong net earning power
• 20–30% performance bonus.
• Full relocation to Abu Dhabi for you and your family, handled end-to-end

Security Architect / Engineers ONLY. 👇🏻

Most security roles protect systems.

This one defines how AI systems are secured from the ground up.

We are building a next-generation AI platform, and security is not a layer, it is the foundation.

We are looking for a Security AI Architect to design, own, and enforce secure-by-design architecture across AI workloads, data pipelines, and cloud-native systems at scale.

🚀 What You’ll Actually Be Doing:

This is not a compliance role.......

This is deep, architectural ownership of AI security:

• Design end-to-end security architecture across LLM systems, RAG pipelines, and distributed data platforms
• Define Zero Trust frameworks, identity-first security, mTLS, RBAC/ABAC at scale
• Architect security for multi-tenant, event-driven, cloud-native AI systems
• Secure LLM applications against real threats:
• Data poisoning
• Model extraction
• Prompt injection
• Data leakage
• Build secure Kubernetes environments:
• Workload isolation
• Runtime protection
• Network segmentation
• Own AI supply chain security:
• SBOM

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• Image signing
• Provenance validation
• Embed security into CI/CD and GitOps pipelines with policy-as-code enforcement
• Lead threat modelling for AI systems, not just infrastructure
• Define security observability, anomaly detection, and telemetry across AI workloads

🧠 What We’re Looking For

• 7+ years in Security Architecture / Engineering
• Proven experience securing cloud-native distributed systems
• Strong depth in:
• Zero Trust
• IAM
• Cryptography
• Secure system design
• Hands-on exposure to:
• Kubernetes security
• DevSecOps / CI-CD security

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• Data platform security

Big advantage if you’ve worked with:

• AI/ML systems, LLMs, or data pipelines
• High-security or regulated environments
• Streaming systems like Kafka / NATS

⚡ Why This Role Is Different

• You’re not inheriting security, you’re defining it
• AI systems here are core infrastructure, not side projects
• You’ll operate at the intersection of:
• AI
• Cloud
• Security at scale

This is one of the few environments where:

compute, data, and ambition are not constraints, only how well it’s secured is