Enterprise Architect – GenAI

NorthBay; Abu Dhabi; On-site; AED 350,000 - 450,000; Full time

Job summary

A leading technology firm in Abu Dhabi is seeking an experienced Enterprise Architect to lead AI initiatives. The ideal candidate will have significant expertise in GenAI and a solid foundation in AI/ML systems. Responsibilities include designing enterprise solutions and managing a team of engineers. Candidates must be willing to relocate and be prepared for onsite leadership in Abu Dhabi.

Qualifications

• 12+ years of experience in enterprise architecture and deployment.
• 3+ years of leadership experience in GenAI.
• Solid foundation in AI/ML with production systems.

Responsibilities

• Design end-to-end AI-powered enterprise solutions.
• Lead a team of engineers in full-stack and AI/ML.
• Drive technical decisions in architecture and implementation.

Skills

GenAI Leadership

AI/ML Development

Cloud Infrastructure

Team Leadership

DevOps Practices

Tools

AWS

Azure

TensorFlow

PyTorch

Kubernetes

Job description

Enterprise Architect – GenAI

Experience : 12+ years

Location : Onsite – Abu Dhabi, UAE

Note : This is a full-time onsite role based in Abu Dhabi, UAE . Candidates currently in Pakistan or India must be willing to relocate for long-term client engagements.

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 to lead strategic AI initiatives for a leading client in Abu Dhabi.

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

Act as the key technical liaison with client stakeholders in Abu Dhabi

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

Experience working directly with enterprise customers and stakeholders

Requirements

Good to have) AWS / Azure / GCP certifications (Solutions Architect + ML Specialty preferred)

Valid passport and willingness to relocate to Abu Dhabi

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. Candidates must be relocation-ready and prepared for onsite leadership and client engagement in Abu Dhabi.