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 deploymentAgentic AI, MultiAgent systems, Agentic RAG implementationsVector Databases, LangChain, Langraph, and modern GenAI toolchainsAdvanced prompt engineering and Chain-of-Thought techniques3+ production GenAI applications successfully implementedAI / ML Foundation (4–5 Years)
Hands-on AI / ML experience building production systems with Python, TensorFlow, PyTorchML model lifecycle management from development to deployment and monitoringIntegration of AI / ML models with existing enterprise architecturesEnterprise Architecture & Deployment (8+ Years)
Full-stack development with MERN stack or equivalentDeployment experience across on-premises, cloud, and hybrid environmentsKubernetes expertise for container orchestration and deploymentDatabase proficiency : SQL (PostgreSQL / MySQL) and NoSQL (MongoDB / DynamoDB)API development : RESTful services, GraphQL, microservices architectureDevOps experience : Docker, CI / CD pipelines, infrastructure automationCloud & Infrastructure
Strong cloud experience (AWS / Azure / GCP) with ML servicesAWS : SageMaker, Bedrock, Lambda, API Gateway or equivalentHybrid architecture design combining on-prem, cloud, and AI / ML systemsProven Delivery
7+ complex projects delivered across enterprise systems and AI / ML solutionsTeam leadership experience managing diverse technical teamsRequirements
(Good to have) AWS / Azure / GCP certifications (Solutions Architect + ML Specialty preferred)Strong communication skills bridging business and technical requirementsAgile / Scrum leadership experience with measurable team performance improvementsIdeal Candidate
Priority expertise : GenAI Leadership → AI / ML Foundation → Enterprise Architecture with deployment experience across on-premises, cloud, and hybrid environments.
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