Technology Lead â GenAI

NorthBay Solutions; Dubai; On-site; AED 420,000 - 780,000; Full time

Job summary

NorthBay Solutions is seeking a Technology Lead with deep Generative AI (GenAI) and AI/ML enterprise architecture expertise to architect and deliver AI-powered solutions across on-premises, cloud, and hybrid environments.

You will guide a multidisciplinary team, act as the technical authority on GenAI initiatives, and translate business needs into scalable production systems using LLMs, multi-agent setups, and robust MLOps.

Qualifications

• Hands-on Python, TensorFlow and PyTorch for production ML.
• Lead end-to-end AI/ML lifecycle in production.
• Experience deploying GenAI across hybrid cloud environments.

Responsibilities

• Architect end-to-end AI/ML and GenAI solutions.
• Lead a large AI/ML team in Agile settings.
• Drive technical decisions across infra, APIs, microservices, and AI platforms.

Skills

LLMs

Agentic AI

multi-agent systems

RAG implementations

vector databases

LangChain

LangGraph

prompt engineering

Chain-of-Thought

GenAI apps

Python

TensorFlow

PyTorch

ML lifecycle

APIs

Microservices

REST

GraphQL

Docker

CI/CD

Kubernetes

AWS

Azure

GCP

SageMaker

Tools

Docker

Kubernetes

REST

GraphQL

PostgreSQL

MySQL

MongoDB

DynamoDB

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