Solution Architect - LangGraph & Agentic AI

About the role

The Solution Architect will lead the design and deployment of enterprise-grade agentic AI platforms and applications using LangGraph. This role involves translating complex business requirements into secure, scalable, and production-ready architectures while guiding engineering teams through the implementation of AI workflows. You will collaborate with stakeholders to identify high-value AI opportunities and ensure solutions meet rigorous security, governance, and operational standards.

Responsibilities

• Lead the architecture and design of enterprise AI agent and agentic workflow solutions.
• Design LangGraph-based architectures for single-agent and multi-agent applications.
• Define reusable architecture patterns for agentic AI solutions and evaluate architectural alternatives.
• Design scalable AI application architectures on AWS, Azure, or GCP.
• Establish security and governance principles for enterprise AI agents, including human-in-the-loop controls.
• Define architecture for AI application monitoring, observability, and performance evaluation.
• Lead architecture workshops and provide technical direction to engineering and data teams.

Required skills

• Solution Architecture
• LangGraph
• Agentic AI
• LLM
• RAG
• Python
• Cloud Architecture
• Enterprise Integration
• API Design
• AI Security
• Governance

Nice to have

• LangChain
• LangSmith
• Vector databases
• Kubernetes
• Event-driven architectures
• Microservices
• Infrastructure as Code
• CI/CD
• MLOps
• LLMOps

Qualifications

• Significant experience in solution architecture, software architecture, AI architecture, or a related role

About the Company

Belmont Lavan Ltd is an organization that recruits for various roles and provides information on English-speaking job opportunities.