Solution Architect - LangGraph & Agentic AI
New
B
Belmont Lavan LtdEnterprise AI
Amsterdam, North Holland, Netherlands. Francescas, Nouvelle-Aquitaine, France. London, England, United Kingdom. Stuttgart, Baden-Württemberg, GermanyFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Required Skills
- AWSPythonGCPSoftware ArchitectureAzure
Requirements
- Significant experience in solution architecture, software architecture, or AI architecture.
- Hands-on experience designing and deploying LangGraph-based AI applications or agentic workflows.
- Strong understanding of LLM application architectures and enterprise AI/ML production solutions.
- In-depth knowledge of RAG, tool calling, agent orchestration, and human-in-the-loop patterns.
- Strong experience with at least one major cloud platform: AWS, Azure, or GCP.
- Strong technical understanding of Python and modern software engineering practices.
- Experience with enterprise integration patterns, APIs, and microservices architecture.
- Understanding of security, governance, observability, and operational requirements for production systems.
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.
- Translate business requirements, SLAs, security requirements, and technical constraints into robust solution architectures.
- Define architecture for AI application monitoring, observability, and performance evaluation.
- Work with senior stakeholders to define AI strategies, lead design workshops, and mentor engineering teams.
- Establish security and governance principles to mitigate risks such as prompt injection and data leakage.
- Collaborate with DevOps and platform engineering teams to define deployment standards for production agents.
View Full Description & ApplyYou'll be redirected to the employer's site
