Hybrid Enterprise Architect (LLMs, GenAI, AI/ML) at NorthBay Solutions

Enterprise Architect (LLMs, GenAI, AI/ML)
Experience: 12+ years
Location: India

Note: This role requires flexibility to travel or relocate to Abu Dhabi (UAE) for onsite client requirements (typically 2 to 3 months at a time).

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.