Enterprise Architect
2 weeks ago
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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