Technology Lead – GenAI

Full 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 RequiredGenerative 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.