Principal Enterprise AI Architect — Sovereign Cloud & HPC

Core42; Abu Dhabi; On-site; AED 600,000 - 1,200,000; Full time

Job summary

Core42 is seeking a Principal Enterprise AI Systems Architect to lead end-to-end architectures for enterprise AI platforms in the UAE. You will translate business objectives into secure, scalable, production-ready designs spanning applications, data, AI models and cloud infrastructure.

The role combines hands-on architecture with senior leadership, covering discovery, design, validation and production adoption across on-premises, hybrid and sovereign environments.

Qualifications

• 10+ years in enterprise architecture for software, cloud or infrastructure.
• Ability to architect integrated solutions across software, data, AI and infrastructure.
• Strong software architecture covering distributed systems, APIs, containers, Kubernetes, CI/CD.
• Experience with enterprise AI and LLM architectures, RAG, model serving, MLOps/LLMOps.

Responsibilities

• Lead technical discovery translating business objectives into end-to-end architectures.
• Serve as senior technical authority for strategic engagements and due diligence.
• Design integrated platform architectures spanning applications, data and AI services.
• Architect HPC, GPU platforms, high-performance networking and storage.
• Embed security, sovereignty, governance and operational transparency into architecture decisions.

Skills

Enterprise architecture

Distributed systems

Kubernetes

CI/CD

MLOps/LLMOps

Cloud architecture

Security & sovereignty

Technical leadership

Stakeholder management

Architecture governance

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

Azure

AWS

Google Cloud

Job description

Core42 is seeking a Principal Enterprise AI Systems Architect to lead end-to-end architectures for enterprise AI platforms in the UAE. You will translate business objectives into secure, scalable, production-ready designs spanning applications, data, AI models and cloud infrastructure.

The role combines hands-on architecture with senior leadership, covering discovery, design, validation and production adoption across on-premises, hybrid and sovereign environments.