LangChain
Technology
SolutionsArchitect(APAC)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Solutions Architect (APAC) at LangChain. Skills: AI infrastructure, Agent systems, Cloud platforms, Kubernetes. Design scalable infrastructure for AI platform. Design enterprise integration patterns”
Industry & Context.
Analyze complex requirements; Design elegant solutions
What They're Looking For.
Must Have
7+ years technical customer-facing roles, 3+ years cloud platform deployment, 1+ years building AI/ML applications, Customer-facing enterprise experience, Technical assessments experience
Nice to Have
Former founders welcome, Kubernetes experience a plus, GitOps practices a plus, HA/DR solutions design a plus, SSO/RBAC knowledge a plus, Prometheus knowledge a plus, Grafana knowledge a plus, Datadog knowledge a plus, CI/CD pipelines a plus, LangChain experience, LangGraph experience, State management patterns experience, Evaluation frameworks design experience, Prompt engineering experience, Vector stores experience, RAG patterns experience, Knowledge organization experience, Tool integration experience, API design experience, Error handling patterns experience, TypeScript development skills
What You'll Do.
Design scalable infrastructure for AI platform
Design enterprise integration patterns
Design Infrastructure as Code
Design multi-region HA/DR strategies
Design CI/CD pipelines
Design multi-agent systems
Implement agent logic
Design evaluation frameworks
Lead technical maturity assessments
Understand customer requirements
Present recommendations
Partner with Engagement Managers
Partner with Product teams
Partner with Engineering teams
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Product teams; Customer teams
Communication Scope
Explain technical concepts
Full 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 engineerin
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