Enterprise Architect (LLMs, GenAI, AI/ML)

Bengaluru, Karnataka, India

Full Time

GenAI

Experienced

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.

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How many years of experience do you have in GenAI (LLMs, prompt engineering, vector databases, LangChain, etc.)?*

Have you deployed any production-grade GenAI applications? Please mention how many and a short overview:*

Do you have hands-on experience with container orchestration (e.g., Kubernetes) and cloud-based ML services (e.g., AWS SageMaker, Azure ML)?*

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