Enterprise Architect (LLMs, GenAI, AI / ML)

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.

Note : This role requires flexibility to relocate to Abu Dhabi (UAE) for onsite client requirements.

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.

J-18808-Ljbffr