AI Architecture Lead

Landmark Group; Dubai; On-site; AED 420,000 - 560,000; Full time

Job summary

Landmark Digital, the digital arm of Landmark Group, seeks a Lead AI Architect in Dubai to shape AI product design from discovery to production delivery. You will translate business goals into secure, scalable AI solutions and guide teams through implementation.

You will mentor engineers, collaborate with product owners, enterprise architects, data, security and operations, and champion responsible AI, governance and performance in fast-moving AI landscapes.

Qualifications

• 8+ years in engineering/architecture.
• Direct experience taking an LLM-based product into production.
• Broad understanding of AI landscape: LLMs, RAG, embeddings, multimodal systems.
• Hands-on ability to prototype and review production code (Python).
• Experience with at least one major cloud and CI/CD.

Responsibilities

• Define AI product architectures across experience, application, model, data, integration and infra layers.
• Evaluate models, platforms and vendors; recommend build-vs-buy decisions.
• Prototype high‑risk assumptions and mentor engineers.
• Guide teams through implementation, reviews and production readiness.
• Embed responsible AI and security by design: privacy and access controls.
• Define testing, monitoring and lifecycle controls for models and prompts.
• Communicate decisions clearly to stakeholders.

Skills

AI architecture

Python

API design

MLOps

Cloud platforms

Prototyping

Security by design

Enterprise architecture

Education

Bachelor's degree in CS/Engineering

Tools

Docker/Kubernetes

Cloud platforms (AWS/GCP/Azure)

Job description

Landmark Digital, the digital arm of Landmark Group, seeks a Lead AI Architect in Dubai to shape AI product design from discovery to production delivery. You will translate business goals into secure, scalable AI solutions and guide teams through implementation.

You will mentor engineers, collaborate with product owners, enterprise architects, data, security and operations, and champion responsible AI, governance and performance in fast-moving AI landscapes.