GenAI & AgenticAI Architect

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

Job summary

A leading technology consultancy in Abu Dhabi is seeking a Technology Lead/Architect specializing in AI/ML and Generative AI. The role focuses on architecting scalable, AI-driven solutions while leading a dedicated team. Candidates should possess a minimum of 12 years of experience with a solid background in AI/ML, enterprise architecture, and successful project delivery. This is an exciting opportunity for a strategic leader ready to drive innovation and mentor teams in a hybrid work environment.

Qualifications

• 12+ years of experience in technology leadership, particularly in AI/ML.
• Proven experience in full-scale project delivery in enterprise environments.
• Strong communicator, skilled in stakeholder management and Agile/Scrum methodologies.

Responsibilities

• Architect and deliver scalable AI/ML and GenAI solutions.
• Lead a team of engineers in Agile environments for project success.
• Act as a trusted advisor to stakeholders, integrating technical and strategic insights.

Skills

Generative AI Leadership

AI/ML Foundation

DevOps

Team Leadership

API Design

Education

Certifications in AWS/Azure/GCP

Tools

Python

TensorFlow

PyTorch

Kubernetes

Docker

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