Technology Lead – GenAI

NorthBay Solutions; Abu Dhabi; On-site; AED 50,000 - 70,000; Full time

Job summary

A technology solutions company is looking for a Technology Lead with strong expertise in Generative AI and AI/ML. The ideal candidate will lead multidisciplinary teams to innovate and deliver scalable AI solutions across cloud, on-premises, and hybrid environments. Key qualifications include extensive experience in AI leadership, enterprise architecture, and strong programming skills in Python and related tools. This position offers an opportunity to influence and drive technical excellence in exciting projects.

Qualifications

• Proficient in designing and delivering AI-powered enterprise solutions.
• Hands-on experience in building production-grade GenAI applications.
• Experience in managing the full lifecycle of ML models.
• Strong communication and stakeholder management skills.

Responsibilities

• Architect and deliver end-to-end AI/ML and GenAI solutions.
• Lead a multidisciplinary team to ensure project success.
• Drive technical decision-making across various platforms.
• Act as a trusted advisor to business stakeholders.

Skills

Generative AI Leadership

AI/ML Foundation

Enterprise Architecture & Hybrid Deployments

Python

Kubernetes

AWS

Agile/Scrum leadership

Education

Certifications in AWS/Azure/GCP (Preferred)

Tools

TensorFlow

PyTorch

Docker

CI/CD pipelines

PostgreSQL/MySQL

MongoDB/DynamoDB

Job description

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

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.