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.

Core Responsibilities

• Architect and deliver end-to-end AI/ML and GenAI solutions integrating with existing enterprise systems.

• Lead a team of 812 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 (45 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.