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Azure AI Technical Architect

Client of Salt · Abu Dhabi

Posted Oct 23, 2026Source: naukrigulf
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Job description

We are recruiting for a Senior AI/ML Technical Architect to join a leading technology consultancy in Abu Dhabi on a 12-month contract. This is an opportunity for an experienced AI Architect to lead the design, development and deployment of enterprise-scale Generative AI and Agentic AI solutions. The successful candidate will combine strong hands-on technical expertise with architectural leadership, designing scalable AI platforms, advanced Retrieval-Augmented Generation (RAG) solutions and intelligent multi-agent systems. Key Responsibilities: • Architect and deliver enterprise-scale Generative AI and Agentic AI solutions using Large Language Models (LLMs) and Small Language Models (SLMs). • Design multi-agent orchestration frameworks, including context management, memory and persistent agent interactions. • Develop advanced RAG architectures, including vector databases, embeddings, semantic search and hybrid retrieval. • Build AI applications using LangChain, LangGraph, Semantic Kernel and Agno. • Implement Model Context Protocol (MCP) integrations to connect AI agents with enterprise systems. • Design and implement LLM fine-tuning and optimization strategies, including LoRA, QLoRA and model quantization. • Architect secure APIs and enterprise integrations using REST, GraphQL, gRPC and event-driven architectures. • Lead AI model deployment across Azure, AWS, GCP and on-premises environments. • Establish best practices for model evaluation, performance optimization, security and AI governance. Required Skills & Experience: • 8+ years experience in Software Engineering, Data Engineering or AI systems. • 4+ years experience designing enterprise-scale architectures and distributed systems. • 2+ years hands-on experience developing Generative AI and LLM-based solutions. • Strong cloud platform experience across Microsoft Azure • Strong experience with LLMs such as GPT, Claude, LLaMA and open-source models. • Proven expertise in Agentic AI, multi-agent systems, RAG architectures and vector databases. • Hands-on experience with LangChain, LangGraph, Semantic Kernel or equivalent agent orchestration frameworks. • Strong understanding of LLM fine-tuning, model optimization and inference pipelines. • Experience working with Python, PyTorch, TensorFlow and Hugging Face. • Experience with Docker, Kubernetes, CI/CD pipelines and MLOps. • Excellent understanding of enterprise integration, API architecture, authentication and security.

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