Enterprise Architect (LLMs, GenAI, AI / ML)

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.