Solutions Architect (London)

LangChain; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

LangChain seeks a Solutions Architect to join our Professional Services team. You will design, deploy, and optimize production-grade AI infrastructure and agent systems for enterprise customers, spanning Kubernetes clusters, multi-agent architectures, and secure deployments.

You will combine software development, infrastructure engineering, and customer-facing skills to deliver scalable solutions and measurable business value.

Qualifications

• Experience designing scalable, highly available infrastructure for AI platforms.
• Experience developing multi-agent systems and evaluating AI frameworks.
• Ability to lead technical maturity assessments with enterprise customers.

Responsibilities

• Design scalable, secure infrastructure for AI platform deployments (compute, storage, networking, security).
• Develop multi-agent systems using frameworks like langchain/langgraph and implement evaluation frameworks; optimize prompts and deployment.
• Lead technical maturity assessments and present recommendations to enterprise customers; collaborate with Engagement Managers and Product/Eng.

Skills

Infra design

Agent systems

Customer assessments

Tools

Terraform

Helm

Kubernetes

LangChain LangGraph

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 Solutions 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/Eng