Design and deliver enterprise-scale Azure AI, Generative AI, and Agentic AI solutions. Combine deep hands-on knowledge of Large Language Models (LLMs), AI platforms, and modern cloud architecture with the ability to design secure, scalable, and production-ready AI solutions. 8+ years of experience across software engineering, data, or AI systems required.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Azure AI Architect – Generative AI & Agentic Systems - Abu Dhabi - 12 Month contract
Location: Abu Dhabi, UAE
Contract duration: 12 Months
Salary: AED 28,000-30,000 per month
Benefits: UAE Employment Visa + Healthcare
Only Immediate Joiners that are already based in the UAE can be considered
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Our Consultancy client is looking for an experienced Azure AI Architect to join a major AI transformation programme in Abu Dhabi.
This is a senior technical architecture position focused on designing and delivering enterprise-scale Azure AI, Generative AI and Agentic AI solutions. You will combine deep hands-on knowledge of Large Language Models (LLMs), AI platforms and modern cloud architecture with the ability to design secure, scalable and production-ready AI solutions.
Experience Required:
- 8+ years of experience across software engineering, data or AI systems
- 2+ years of hands-on Generative AI / LLM experience
- 4+ years designing enterprise-scale platforms or distributed systems
- Strong experience designing production-grade AI architectures
- Experience taking AI solutions from architecture through to enterprise deployment
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Key Responsibilities
- Architect scalable Azure AI, Generative AI and Agentic AI platforms
- Design multi-agent orchestration frameworks for complex automated workflows
- Define context, memory and state-management architectures for AI agents
- Design and optimise Retrieval-Augmented Generation (RAG) solutions
- Build AI solutions using technologies including Semantic Kernel, LangChain, LangGraph and Agno
- Architect enterprise AI solutions using Azure and cloud-based AI services
- Design model inference pipelines across cloud, edge and on-premise environments
- Develop strategies for LLM/SLM fine-tuning and domain-specific model optimisation
- Ensure AI solutions meet enterprise standards around security, scalability, performance and governance
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