Principal Enterprise AI Systems Architect
42 | Abu Dhabi, UAE
About Us
Core
42 delivers AI-powered cloud and digital infrastructure, enabling organizations to harness sovereign AI capabilities and scalable, high-performance computing. Through advanced technology and strategic partnerships, Core
42 supports digital transformation across regulated industries and global markets.
As Principal Enterprise AI Systems Architect, you will serve as the end-to-end technical authority for complex enterprise AI platforms spanning applications, data, AI models, cloud, accelerated computing, networking, storage, security and operations. You will translate business objectives and workload requirements into secure, scalable, resilient and production-ready architectures. This is a hands‑on architecture and engineering leadership role, covering discovery, design, validation, implementation readiness and production adoption—not a conventional presales or proposal‑management position.
You will work with customers, engineering teams, Product Management, Technical Program Managers and strategic technology partners across the UAE and international markets. You will also translate recurring customer needs into reusable Core
42 architectures and platform capabilities supporting Compass, sovereign AI, enterprise LLMs, agentic workloads and HPC services.
- Enterprise Architecture and Discovery: Lead technical discovery with customers, translating business objectives, application and data landscapes, workload requirements, performance expectations, security constraints and sovereignty requirements into end-to-end architectures.
- Strategic Pursuits and Partnerships: Serve as the senior technical architecture authority for strategic engagements. Lead architecture reviews, technical due diligence and solution validation, ensuring customer standards, assumptions and deviations are clearly documented and deliverable.
- End-to-End Platform Architecture: Design integrated architectures spanning applications, APIs, distributed systems, data platforms, AI/LLM services, MLOps/LLMOps, cloud, compute, networking, storage, identity, security and operations.
- AI and Data Architecture: Architect enterprise AI solutions covering LLMs, RAG, enterprise search, agentic workflows, model serving, evaluation, guardrails, responsible AI, data governance, vector retrieval and batch or real-time data processing.
- Infrastructure, HPC and Accelerated Computing: Design GPU and AI accelerator platforms, clusters, high‑performance networking, parallel storage, workload orchestration, schedulers, distributed training and inference, capacity planning and performance optimization.
- Cloud, Hybrid and Sovereign Platforms: Design public, private, hybrid, on‑premises, edge and restricted environments. Address landing zones, tenancy, connectivity, interoperability, data residency, jurisdiction, encryption and key custody, privileged access, control‑plane location and operational autonomy.
- Security, Resilience and Operations: Embed zero‑trust security, identity and access management, encryption, threat modelling, observability, disaster recovery, business continuity, incident response, lifecycle management and operational supportability into architecture decisions.
- Architecture Validation and Delivery Assurance: Lead prototypes, technical spikes, benchmarks and architecture reviews to validate assumptions and retire risks. Produce implementation‑ready architecture documentation and maintain design integrity through deployment and production acceptance.
- Performance and Economics: Evaluate architectural options against performance, scalability, availability, security, sovereignty, supportability, time to value and total cost of…
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