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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