Generative AI Architect — Enterprise-Scale & Multi-Agent

Client of Salt; Abu Dhabi; On-site; AED 320,000 - 520,000; Full time

Job summary

Client of Salt in Abu Dhabi seeks a Senior AI ML Technical Architect to lead the design, development and deployment of enterprise-scale Generative AI and Agentic AI solutions. The role blends hands-on engineering with architectural leadership across LLMs, RAG, and multi-agent systems in cloud and on-prem environments.

The candidate will architect scalable AI platforms, secure APIs, and governance frameworks while guiding teams through complex deployments and integrations.

Qualifications

• 8+ years in Software Engineering, Data Engineering or AI systems.
• 4+ years designing enterprise-scale architectures and distributed systems.
• 2+ years hands-on experience developing Generative AI and LLM-based solutions.
• Strong cloud platform experience across Azure; AWS/GCP advantageous.
• Proficiency with Python, PyTorch, TensorFlow and Hugging Face.
• Experience with Docker, Kubernetes, CI/CD pipelines and MLOps.
• Excellent understanding of API authentication, security and enterprise integration.

Responsibilities

• Lead the design, development and deployment of enterprise-scale Generative AI and Agentic AI solutions.
• Architect multi-agent orchestration frameworks including context management, memory and persistent agent interactions.
• Develop advanced RAG architectures with vector databases, embeddings and semantic search.
• Oversee model governance, performance optimization and secure API/enterprise integrations.

Skills

AI architectures

LLM development

RAG architectures

Multi-agent systems

Python

PyTorch

TensorFlow

MLOps

Docker

Kubernetes

Security

Azure

GCP

REST/GraphQL

Tools

LangChain

LangGraph

Semantic Kernel

Job description

Client of Salt in Abu Dhabi seeks a Senior AI ML Technical Architect to lead the design, development and deployment of enterprise-scale Generative AI and Agentic AI solutions. The role blends hands-on engineering with architectural leadership across LLMs, RAG, and multi-agent systems in cloud and on-prem environments.

The candidate will architect scalable AI platforms, secure APIs, and governance frameworks while guiding teams through complex deployments and integrations.