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Enterprise Architect (LLMs, GenAI, AI / ML)

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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.

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