Enterprise Architect (LLMs, GenAI, AI / ML)

Enterprise Architect (LLMs, GenAI, AI / ML) Experience : 12+ years Location :   Abu Dhabi (UAE) About the Role NorthBay Solutions seeks an Enterprise Architect with proven GenAI leadership, strong AI / ML foundation, and solid enterprise architecture background.

We want seasoned professionals with deployment experience across on-premises, cloud, and hybrid environments.

Core Responsibilities Design end-to-end AI-powered enterprise solutions integrating traditional systems with AI / ML Lead 8–12 engineers across full-stack, DevOps, and AI / ML specializations in Agile environments Drive technical decisions spanning infrastructure, databases, APIs, microservices, and AI components Technical Requirements GenAI Leadership (3+ Years) – PRIMARY Expert-level LLM experience (LLAMA, Mistral, GPT) including fine-tuning and deployment Agentic AI, MultiAgent systems, Agentic RAG implementations Vector Databases, LangChain, Langraph, and modern GenAI toolchains Advanced prompt engineering and Chain-of-Thought techniques 3+ production GenAI applications successfully implemented AI / ML Foundation (4–5 Years) Hands-on AI / ML experience building production systems with Python, TensorFlow, PyTorch ML model lifecycle management from development to deployment and monitoring Integration of AI / ML models with existing enterprise architectures Enterprise Architecture & Deployment (8+ Years) Full-stack development with MERN stack or equivalent Deployment experience across on-premises, cloud, and hybrid environments Kubernetes expertise for container orchestration and deployment Database proficiency : SQL (PostgreSQL / MySQL) and NoSQL (MongoDB / DynamoDB) API development : RESTful services, GraphQL, microservices architecture DevOps experience : Docker, CI / CD pipelines, infrastructure automation Cloud & Infrastructure Strong cloud experience (AWS / Azure / GCP) with ML services AWS : SageMaker, Bedrock, Lambda, API Gateway or equivalent Hybrid architecture design combining on-prem, cloud, and AI / ML systems Proven Delivery 7+ complex projects delivered across enterprise systems and AI / ML solutions Team leadership experience managing diverse technical teams Requirements (Good to have) AWS / Azure / GCP certifications (Solutions Architect + ML Specialty preferred) Strong communication skills bridging business and technical requirements Agile / Scrum leadership experience with measurable team performance improvements Ideal Candidate Priority expertise : GenAI Leadership → AI / ML Foundation → Enterprise Architecture with deployment experience across on-premises, cloud, and hybrid environments.

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