Enterprise Architect (LLMs, GenAI, AI/ML)
Enterprise Architect (LLMs, GenAI, AI/ML)
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Job Description
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 812 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 (45 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.
Required Experience:
Senior IC
Employment Type
Full-Time
