Enterprise Agentic AI Architect - LangGraph

Belmont Lavan; Greater London; On-site; GBP 110,000 - 170,000; Full time

Job summary

Belmont Lavan is seeking an experienced Solution Architect to lead the design and deployment of LangGraph-based AI solutions across enterprise platforms. You will translate business needs into secure, scalable architectures and guide engineering teams through production-grade deployments.

The role spans AI architecture, integration, cloud engineering, security, and governance, with a focus on actionable, auditable AI workflows at enterprise scale.

Qualifications

• Lead the architecture and design of enterprise AI agent and agentic workflow solutions.
• Design LangGraph-based architectures for single-agent and multi-agent applications.
• Translate business requirements, SLAs, security and constraints into solution architectures.
• Evaluate architectural alternatives and document key decisions and trade-offs.
• Define reusable architecture patterns for agentic AI solutions.

Responsibilities

• Design architectures incorporating: LLMs, LangGraph, RAG, enterprise data, APIs and workflow engines.
• Define boundaries between AI reasoning and deterministic business logic.
• Design state management, persistence, recovery, and long-running agent workflows.
• Determine when to use single-agent, multi-agent, or conventional app architectures.
• Collaborate with security, governance, observability, and platform teams.
• Mentor engineers and promote reusable AI architecture patterns.

Skills

LangGraph

LLMs

Agent orchestration

Human-in-the-loop

Security governance

Observability

Python

Cloud architecture

Job description

Belmont Lavan is seeking an experienced Solution Architect to lead the design and deployment of LangGraph-based AI solutions across enterprise platforms. You will translate business needs into secure, scalable architectures and guide engineering teams through production-grade deployments.

The role spans AI architecture, integration, cloud engineering, security, and governance, with a focus on actionable, auditable AI workflows at enterprise scale.