Deployed Architect, Professional Services (Amsterdam)
About this role
The Deployed Architect position at LangChain in Amsterdam offers an exciting opportunity to design, deploy, and optimize production-grade AI infrastructure and agent systems for enterprise clients. This remote-friendly role is perfectly suited for an experienced technical professional with a background in solutions architecture and artificial intelligence engineering.
Role Overview
In this customer-facing role within the Professional Services team, the professional works directly with enterprise clients to architect scalable, secure infrastructure deployments and build reliable, well-evaluated agent applications. The position combines software development, platform engineering, and client engagement, requiring deep technical expertise across infrastructure and agent engineering domains to solve real business problems.
Key Responsibilities
Requirements
Skills and Tools
About the Company
LangChain's mission is to make intelligent agents ubiquitous by building the foundation for real-world agent engineering, helping developers move from prototypes to production-ready AI systems. Having raised $125M at Series B from investors like IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, the company supports a platform used by major global organizations and features a rapidly growing open-source community.
How to Apply
Interested candidates should apply directly on the official company careers page to submit their application for this role.
Skills and tech stack
Questions candidates ask
What is the location for the Deployed Architect role?
The role is based in Amsterdam, Netherlands, and is remote with up to 25% travel.
How many years of experience are required?
Candidates must have 7+ years of experience in a technical, hands-on customer-facing role such as Solutions Architect or Deployed Architect.
What cloud platforms and tools are used?
The tech stack includes AWS, GCP, or Azure, Kubernetes, Terraform, Helm, Python, TypeScript, and LangChain frameworks.
Is AI or machine learning experience required?
Yes, candidates need 1+ years of experience building production AI/ML applications or agents, including working with LLM frameworks like LangChain or LangGraph.
What department does this role belong to?
This role is part of the Customer Engineering department within the Professional Services team.