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AI ARCHITECT

Job in Sharjah, UAE/Dubai
Listing for: Duncan & Ross Consulting
Full Time position
Listed on 2026-08-30
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Architect, Azure
Salary/Wage Range or Industry Benchmark: 300000 - 600000 AED Yearly AED 300000.00 600000.00 YEAR
Job Description & How to Apply Below

Role Overview

We are looking for an experienced AI Architect to join a high-priority Government project in the UAE. The role will focus primarily on designing and delivering Generative AI and Agentic AI solutions on the Microsoft Azure platform
, with additional exposure to traditional Machine Learning and AI/ML systems
.

The successful candidate will be responsible for defining end-to-end AI architecture, designing scalable and secure enterprise solutions, and working closely with technical and business stakeholders to deliver production-grade AI capabilities.

Key Responsibilities
  • Design and own end-to-end architecture for Generative AI and Agentic AI solutions
    .
  • Architect AI solutions on the Microsoft Azure AI ecosystem
    .
  • Design and implement AI agents and multi-agent workflows
    , including orchestration, tool integration, memory/context management and human-in-the-loop controls.
  • Develop enterprise LLM and RAG architectures
    , including embeddings, vector search, retrieval, grounding and evaluation.
  • Work with Azure AI technologies such as:
    • Azure OpenAI
    • Azure AI Foundry
    • Azure AI Search
    • Azure Machine Learning
    • Azure Kubernetes Service (AKS), where applicable
  • Define secure, scalable and production-ready AI architectures.
  • Implement AI governance, guardrails, security, privacy and Responsible AI principles.
  • Support integration of GenAI solutions with enterprise applications, APIs, data platforms and business systems.
  • Provide technical leadership and guidance to engineering teams.
  • Engage directly with client stakeholders to understand requirements and translate them into scalable AI architectures.
  • Contribute to traditional Machine Learning solution architecture and model lifecycle
    , where required.
Vertical:

Technology

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