Technology Lead â GenAI

NorthBay Solutions; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A technology solutions provider in Abu Dhabi is seeking a Technology Lead to oversee AI/ML initiatives and deliver innovative enterprise solutions. The ideal candidate will have extensive experience in Generative AI, strong leadership capabilities, and a proven track record delivering AI-powered applications. This full-time role involves leading multidisciplinary teams, driving technical decision-making, and ensuring the successful deployment of scalable AI solutions in hybrid environments.

Qualifications

• Preferred certifications in AWS/Azure/GCP (Solutions Architect ML Specialty).
• Expert-level experience delivering production-grade GenAI applications.
• Solid experience in Agile/Scrum leadership.

Responsibilities

• Architect and deliver end-to-end AI/ML and GenAI solutions.
• Lead a team across AI/ML full-stack and DevOps disciplines.
• Ensure successful deployment and scaling of AI solutions.

Skills

LLMs (LLaMA, Mistral, GPT)

Agentic AI

Multi-agent systems

Vector databases

LangChain

Python

TensorFlow

PyTorch

AWS

Kubernetes

Education

Certifications in AWS/Azure/GCP

Tools

Docker

CI/CD pipelines

APIs (REST, GraphQL)

Job description

Job Title: Technology Lead AI/ML & GenAI

Experience: 12 Years

Location: Abu Dhabi UAE

Employment Type: Full-time

About the Role

NorthBay Solutions is seeking an accomplished Technology Lead 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.

Core Responsibilities

• Architect and deliver end-to-end AI/ML and GenAI solutions integrating with existing enterprise systems.
• Lead a team of 812 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 (45 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.

Required Experience

Senior IC