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Solution Architect - LangGraph & Agentic AI

6 hours, 57 minutes ago
France, United Kingdom, Netherlands, Germany
Full-time
Lead
Solutions Architect
Software Development
AWS Azure CI/CD Cybersecurity Kubernetes Microservices MLOps Python Secrets Management
Apply Now
Belmont Lavan

Belmont Lavan

Belmont Lavan Talent Without Borders | PEO & Talent Acquisition Partner Belmont Lavan is a PEO and Talent Acquisition Global Service provider WORKING WITH STARTUPS & CORPORATES INTERNATIONALLY EUROPE USA CANADA AFRICA WORKING WITH STARTUPS & CORPOR...

Professional Services
11-50
Founded 2001
View All Jobs 3

Description

  • Design enterprise single-agent, multi-agent, and agentic workflow solutions using LangGraph.
  • Translate business requirements, SLAs, security needs, and technical constraints into solution architectures.
  • Define reusable patterns for LLMs, RAG, enterprise data, APIs, workflow engines, human approvals, observability, security, and governance.
  • Design state management, persistence, recovery, and long-running agent workflows.
  • Architect cloud platforms, integrations, authentication, authorization, secrets management, and secure agent tool access.
  • Establish controls for AI security, privacy, responsible AI, human oversight, auditability, and regulatory compliance.
  • Define monitoring, evaluation, logging, tracing, metrics, alerting, and continuous improvement processes for production agents.
  • Lead architecture workshops, communicate trade-offs, review designs, and provide technical direction and mentorship to engineering teams.
  • Partner with senior business and technology stakeholders to define AI strategies and roadmaps.

Requirements

  • Significant experience in solution architecture, software architecture, AI architecture, or a related role.
  • Hands-on experience designing and deploying LangGraph-based AI applications or agentic workflows.
  • Strong understanding of LLM application architectures, RAG, tool calling, agent orchestration, and human-in-the-loop patterns.
  • Experience delivering enterprise AI/ML solutions in production.
  • Strong experience with at least one major cloud platform: AWS, Azure, or GCP.
  • Strong understanding of enterprise integration patterns and APIs.
  • Experience with security, governance, observability, and operational requirements for production systems.
  • Strong technical understanding of Python and modern software engineering practices.
  • Preferred experience with LangChain, LangSmith, multi-agent architectures, enterprise RAG platforms, vector databases, Kubernetes, event-driven architectures, microservices, Infrastructure as Code, CI/CD, MLOps, or LLMOps.
  • Preferred experience with AI security, responsible AI, large-scale enterprise transformation, and senior client stakeholder engagement.

Interested in this position?

Apply directly on the company website

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