Technology Lead – GenAI

NorthBay Solutions; Remote; AED 120,000 - 200,000; Full time

Job summary

A leading tech solutions company is looking for an experienced Technology Lead in AI/ML to design and deliver AI-powered enterprise solutions. The successful candidate will have over 12 years of experience, leading teams, and ensuring successful deployment across diverse environments. A strong command of Generative AI, team leadership, and proficiency in relevant tools such as Python and TensorFlow are essential. This is a fully remote role that requires a strategic leader eager to drive innovation in AI technology.

Qualifications

• 12+ years of experience in AI/ML and enterprise architecture.
• Experience in architecting and delivering large-scale AI/ML solutions.
• Strong background in full-stack development (MERN stack or equivalent).

Responsibilities

• Architect and deliver end-to-end AI/ML and GenAI solutions.
• Lead a team of 8-12 engineers in Agile environments.
• Drive technical decision-making across multiple domains.

Skills

Generative AI and AI/ML expertise

Team leadership

Multi-agent systems

Kubernetes

SQL and NoSQL databases

DevOps practices

Education

Certifications in AWS/Azure/GCP

Tools

Python

TensorFlow

AWS SageMaker

Docker

Git

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 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

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.

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.

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.

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:

AI/ML Foundation

A strategic leader with hands‑on depth, able to innovate, mentor, and deliver at scale.

How many years of hands‑on experience do you have in Generative AI (LLMs, fine‑tuning, deployment)?*

Which best describes your experience with Agentic AI / Multi‑Agent systems?*

What is duration of your notice period with current employer? We only need candidates with a notice of one month or less*

What is your current LPA salary in INR?*

This is 100% remote role. What is your expected LPA salary in INR?*