Enterprise Architect (LLMs, GenAI, AI / ML)

NorthBay Solutions LLC; Abu Dhabi; On-site; AED 400,000 - 550,000; Full time

Job summary

A leading tech solutions provider seeks an experienced Enterprise Architect in Abu Dhabi. The role involves designing AI-powered enterprise solutions and leading technical teams across various deployment environments. Candidates should have extensive experience in GenAI leadership and AI/ML foundations. The job requires strong communication skills and agility in project delivery.

Qualifications

• 10+ years of experience in enterprise architecture and deployment.
• 3+ years of GenAI leadership experience.
• Strong AI/ML production experience.
• Expertise in cloud architectures and tools.

Responsibilities

• Design AI-powered enterprise solutions integrating traditional systems.
• Lead cross-functional teams in Agile environments.
• Drive technical decisions on infrastructure and AI components.

Skills

GenAI Leadership

AI / ML Foundation

Enterprise Architecture

Technical Team Leadership

Agile Methodologies

Tools

Python

TensorFlow

PyTorch

PostgreSQL

MongoDB

AWS

Azure

GCP

Docker

Kubernetes

Job description

About the Role

NorthBay Solutions seeks an Enterprise Architect with proven GenAI leadership, strong AI / ML foundation, and solid enterprise architecture background. We want seasoned professionals with deployment experience across on-premises, cloud, and hybrid environments.

Note : This role requires flexibility to relocate to Abu Dhabi (UAE) for onsite client requirements.

Core Responsibilities

• Design end-to-end AI-powered enterprise solutions integrating traditional systems with AI / ML
• Lead 8–12 engineers across full-stack, DevOps, and AI / ML specializations in Agile environments
• Drive technical decisions spanning infrastructure, databases, APIs, microservices, and AI components

Technical Requirements

GenAI Leadership (3+ Years) – PRIMARY

• Expert-level LLM experience (LLAMA, Mistral, GPT) including fine-tuning and deployment
• Agentic AI, MultiAgent systems, Agentic RAG implementations
• Vector Databases, LangChain, Langraph, and modern GenAI toolchains
• Advanced prompt engineering and Chain-of-Thought techniques
• 3+ production GenAI applications successfully implemented

AI / ML Foundation (4–5 Years)

• Hands-on AI / ML experience building production systems with Python, TensorFlow, PyTorch
• ML model lifecycle management from development to deployment and monitoring
• Integration of AI / ML models with existing enterprise architectures

Enterprise Architecture & Deployment (8+ Years)

• Full-stack development with MERN stack or equivalent
• Deployment experience across on-premises, cloud, and hybrid environments
• Kubernetes expertise for container orchestration and deployment
• Database proficiency: SQL (PostgreSQL / MySQL) and NoSQL (MongoDB / DynamoDB)
• API development: RESTful services, GraphQL, microservices architecture
• DevOps experience: Docker, CI / CD pipelines, infrastructure automation

Cloud & Infrastructure

• Strong cloud experience (AWS / Azure / GCP) with ML services
• AWS : SageMaker, Bedrock, Lambda, API Gateway or equivalent
• Hybrid architecture design combining on-prem, cloud, and AI / ML systems

Proven Delivery

• 7+ complex projects delivered across enterprise systems and AI / ML solutions
• Team leadership experience managing diverse technical teams

Requirements

• Good to have) AWS / Azure / GCP certifications (Solutions Architect + ML Specialty preferred)
• Strong communication skills bridging business and technical requirements
• Agile / Scrum leadership experience with measurable team performance improvements

Ideal Candidate

Priority expertise : GenAI Leadership → AI / ML Foundation → Enterprise Architecture with deployment experience across on-premises, cloud, and hybrid environments.

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