部署架构师，专业服务部（远程）
Deployed Architect, Professional Services (Remote)
关于我们
在LangChain，我们的使命是让智能代理无处不在。我们构建了现实世界中代理工程的基础，帮助开发者从原型过渡到可信赖的生产级AI代理。我们最初是广泛采用的开源工具，现已发展为一个平台，用于大规模构建、评估、部署和运营代理。
在IVP、Sequoia、Benchmark、CapitalG和Sapphire Ventures的B轮融资中筹集了1.25亿美元，我们正处于持续开发新产品、增长加速的阶段，所有团队成员都能对我们的产品和协作方式产生重要影响。LangChain是一个你可以塑造这项技术如何在现实世界中呈现的地方。
如今，我们的平台包括LangSmith（可观测性、评估、部署、车队和沙盒）、我们的开源框架（LangChain、LangGraph和Deep Agents），以及新推出的LangSmith Engine，用于自主代理改进。我们有超过1亿次每月的开源下载量，6000多名活跃的LangSmith客户，以及5家财富10强企业使用LangSmith进行生产（总体上有35%的财富500强企业），包括Klarna、Clay、Coinbase、Workday、Lyft、Cloudflare、Harvey、Rippling、Vanta、LinkedIn、Monday.com、Nvidia和Bridgewater的团队。
关于该职位
我们正在寻找一名已部署架构师加入我们的专业服务团队。你将直接与企业客户合作，设计、部署和优化生产级AI基础设施和代理系统。你将负责设计可扩展、安全的基础设施部署，并构建可靠、经过良好评估的代理应用程序，解决实际的业务问题。
这个职位结合了软件开发、基础设施/平台工程和面向客户的技能。你将涉及从Kubernetes集群设计到多代理系统架构的各个方面，需要在基础设施和代理工程领域都有深入的技术专长。
这个职位能直接影响客户成功，有机会制定最佳实践，并与最前沿的AI技术一起工作。你将加入一个协作性强、工程文化深厚的团队。
主要职责
- 基础设施与平台工程：为AI平台部署设计可扩展、高可用的基础设施（计算、存储、网络、安全）、企业集成模式、基础设施即代码（Terraform、Helm）
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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.
KEY RESPONSIBILITIES
- 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 WE'RE LOOKING FOR
REQUIRED EXPERIENCE
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions 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 explain technical concepts to diverse audiences
KEY ATTRIBUTES
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
- Experience working cross-functionally with engineering teams, product teams, and customers
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
- Ability to balance infrastructure architecture with agent development work
- Strong engineering background with hands-on development experience
- Willing to travel up to 20% of the time
Location: Remote
Compensation: $170,000-$215,000 base salary + equity
Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.