Enterprise Architect

3 days ago

Hyderabad Telangana, India NorthBay Solutions Full time

**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

**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

Priority expertise**:GenAI Leadership AI/ML Foundation Enterprise Architecture** with deployment experience across on-premises, cloud, and hybrid environments.

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