Deployed Architect, Professional Services (Amsterdam)

LangChain; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

LangChain is seeking a Deployed Architect to join our Professional Services team. You will design, deploy, and optimize production-grade AI infrastructure and multi-agent systems for enterprise customers, ensuring scalable, secure deployments and reliable agent applications.

In this role you’ll bridge software development, infrastructure and customer-facing work, from Kubernetes cluster design to architecture of multi-agent patterns, with deep technical expertise across both infrastructure and

Qualifications

• 7+ years in technical, hands-on customer-facing roles such as Solutions Architect or Deployed Architect.
• 3+ years designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure).
• Strong experience with Kubernetes (GKE, EKS, or AKS) including cluster design and multi-zone deployments.

Responsibilities

• Design scalable, highly-available infrastructure for AI platform deployments.
• Design multi-agent systems using patterns and frameworks (LangChain, LangGraph).
• Lead technical assessments and engage with enterprise customers to present recommendations.

Skills

Kubernetes

Terraform

Helm

GitOps

Python

TypeScript

LangChain

LangGraph

Cloud platforms

Tools

Prometheus

Grafana

Datadog

Job description

ABOUT US

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.

With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.

Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.

ABOUT THE ROLE

We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.

This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.

This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.

WHAT YOU'LL DO:

• Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
• Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
• Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams

WHAT YOU'LL BRING

7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply

Infrastructure & Platform:

• 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
• Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
• Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
• Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
• Experience designing high-availability and disaster recovery solutions
• Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
• Experience with CI/CD pipelines for infrastructure and applications

Agent Engineering & Development:

• 1+ years of experience building production AI/ML applications or agents
• Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
• Experience with state management patterns (short-term and long-term memory)
• Experience designing and implementing evaluation frameworks for AI applications
• Strong prompt engineering skills with experience in optimization and A/B testing
• Experience with vector stores, RAG patterns, and knowledge organization
• Experience with tool integration, API design, and error handling patterns
• Strong Python and/or TypeScript development skills

Customer-Facing:

• Customer-facing experience with enterprise customers
• Experience conducting technical assessments or infrastructure audits
• Strong communication skills with ability to …