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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