Job Description

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.

Core 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.



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