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Enterprise Architect

3 weeks ago

Hyderabad, Telangana, India NorthBay Solutions Full time US$ 1,50,000 - US$ 2,00,000 per year

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.