GenAI & AgenticAI Architect - AbuDhabi

NorthBay; Abu Dhabi; On-site; AED 250,000 - 300,000; Full time

Job summary

A leading technology consulting firm in Abu Dhabi is looking for a Technology Lead / Architect specializing in AI and Generative AI. The ideal candidate will lead multidisciplinary teams to design and implement scalable AI solutions while ensuring alignment with enterprise business needs. Strong focus on technical leadership, project delivery, and stakeholder management is essential for this full-time position. Competitive compensation is offered.

Qualifications

• 12+ years of experience in technology leadership roles.
• 3+ years leading Generative AI projects.
• Proven track record delivering enterprise-scale AI solutions.

Responsibilities

• Architect and deliver end-to-end AI solutions.
• Lead a team across various disciplines in Agile environments.
• Drive technical decision-making across multiple technologies.

Skills

Generative AI Leadership

AI / ML Foundation

Enterprise Architecture & Hybrid Deployments

Python

TensorFlow

PyTorch

Kubernetes

Docker

SQL Databases

NoSQL Databases

Education

Certifications in AWS / Azure / GCP

Tools

PostgreSQL

MySQL

MongoDB

DynamoDB

AWS

Azure

GCP

Job description

Overview

Job Title: Technology Lead / Architect – AI / ML & GenAI

Experience: 12+ Years

Location: Abu Dhabi, UAE

Employment Type: Full-time

About the Role

NorthBay Solutions is seeking an accomplished GenAI Technology Lead / Architect with a strong track record in Generative AI (GenAI), AI / ML, and enterprise architecture. This role is ideal for a senior professional who can design and deliver AI-powered enterprise solutions, lead multidisciplinary teams, and drive innovation across cloud, on-premises, and hybrid environments. You will be the technical authority for GenAI-driven initiatives, ensuring successful delivery of scalable and production-ready AI / ML applications while aligning with enterprise business needs.

Responsibilities

• Architect and deliver end-to-end AI / ML and GenAI solutions integrating with existing enterprise systems.
• Lead a team of 8–12 engineers across AI / ML, full-stack, and DevOps disciplines in Agile environments.
• Drive technical decision-making across infrastructure, APIs, microservices, databases, and AI platforms.
• Ensure successful deployment and scaling of AI solutions across on-premises, cloud, and hybrid architectures.
• Act as a trusted advisor to business stakeholders, bridging technical depth with strategic vision.

Technical Expertise Required

• Generative AI Leadership (3+ Years) – PRIMARY
• Expert-level experience with LLMs (LLaMA, Mistral, GPT, etc.), including fine-tuning and deployment.
• Strong hands-on work with Agentic AI, multi-agent systems, and RAG implementations.
• Proficiency with vector databases, LangChain, LangGraph, and modern GenAI toolchains.
• Expertise in advanced prompt engineering and Chain-of-Thought techniques.
• Proven track record delivering 3+ production-grade GenAI applications.

• AI / ML Foundation (4–5 Years)
• Hands-on experience with Python, TensorFlow, and PyTorch for building production ML systems.
• Full lifecycle management of ML models, from development to monitoring in production.
• Seamless integration of AI / ML models into enterprise-grade applications and platforms.

• Enterprise Architecture & Deployment (8+ Years)
• Strong background in full-stack development (MERN stack or equivalent).
• Deployment expertise across on-premises, cloud, and hybrid environments.
• Advanced Kubernetes skills for orchestration and scaling.
• Database expertise in SQL (PostgreSQL / MySQL) and NoSQL (MongoDB / DynamoDB).
• Proven ability to design and manage APIs and microservices (REST, GraphQL).
• DevOps proficiency with Docker, CI / CD pipelines, and infrastructure automation.

• Cloud & Infrastructure
• Deep knowledge of AWS, Azure, or GCP with ML / AI services.
• AWS expertise highly valued: SageMaker, Bedrock, Lambda, API Gateway.
• Strong grasp of hybrid cloud architectures integrating AI / ML workloads.

• Proven Delivery
• 7+ enterprise-scale projects successfully delivered in AI / ML and enterprise systems.
• Demonstrated team leadership experience with measurable outcomes.
• Strong focus on delivery excellence, scalability, and long-term maintainability.

Requirements

• Preferred) Certifications in AWS / Azure / GCP (Solutions Architect, ML Specialty).
• Excellent communication and stakeholder management skills.
• Solid experience in Agile / Scrum leadership, driving productivity and team performance.

Ideal Candidate Profile

• Priority expertise :
• Generative AI Leadership
• AI / ML Foundation
• Enterprise Architecture & Hybrid Deployments
• A strategic leader with hands-on depth, able to innovate, mentor, and deliver at scale.