Enterprise Architect; LLMs, GenAI, AI​/ML

About the Role

North Bay 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.

• Design end-to-end AI-powered enterprise solutions integrating traditional systems with AI/ML
• Lead 8–12 engineers across full-stack, Dev Ops, and AI/ML specializations in Agile environments
• Drive technical decisions spanning infrastructure, databases, APIs, microservices, and AI components

GenAI Leadership (3+ Years) – PRIMARY

• Expert-level LLM experience (LLAMA, Mistral, GPT) including fine-tuning and deployment
• Agentic AI, Multi Agent systems, Agentic RAG implementations
• Vector Databases, Lang Chain, Langraph, and modern GenAI tool chains
• Advanced prompt engineering and Chain-of-Thought techniques
• 3+ production GenAI applications successfully implemented

• Hands-on AI/ML experience building production systems with Python, Tensor Flow, Py Torch
• ML model lifecycle management from development to deployment and monitoring
• Integration of AI/ML models with existing enterprise architectures

• 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 (Postgre
  
  SQL/MySQL) and No
  
  SQL (Mongo
  
  DB/Dynamo
  
  DB)
• API development: RESTful services, Graph
  
  QL, microservices architecture
• Dev Ops experience:
  Docker, CI/CD pipelines, infrastructure automation

• Strong cloud experience (AWS/Azure/GCP) with ML services
• AWS:
  Sage Maker, Bedrock, Lambda, API Gateway or equivalent
• Hybrid architecture design combining on-prem, cloud, and AI/ML systems

• 7+ complex projects delivered across enterprise systems and AI/ML solutions
• Team leadership experience managing diverse technical teams

• (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

Priority expertise:
GenAI Leadership → AI/ML Foundation → Enterprise Architecture with deployment experience across on-premises, cloud, and hybrid environments.