Technology Lead – GenAI

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.

Note : This is a full-time onsite role based in Abu Dhabi, UAE. Candidates must be willing to relocate for long-term client engagements.

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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