LangChain is hiring a Solutions Architect for our Professional Services team. In this role, you will work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems, blending software development, infrastructure engineering, and customer-facing expertise.
What You'll Do
- Design scalable, highly-available infrastructure for AI platform deployments including compute, storage, networking, security, and enterprise integration patterns.
- Implement Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines.
- Design multi-agent systems using different patterns and implement agent logic using modern frameworks (langchain/langgraph).
- Design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations.
- Lead technical maturity assessments and work directly with enterprise customers to understand requirements and present recommendations.
- Partner with Engagement Managers and Product/Engineering teams.
What We're Looking For
- 7+ years of experience in a technical, hands-on customer-facing role such as Solutions Architect or Forward Deployed Engineer.
- 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.
- 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 experience with enterprise customers.
- Experience conducting technical assessments or infrastructure audits.
- Strong communication skills with ability to explain technical concepts to diverse audiences.
Technical Stack
- Cloud Platforms: GCP, AWS, Azure
- Orchestration: Kubernetes, GKE, EKS, AKS
- Infrastructure as Code: Terraform, Helm, GitOps
- Observability: Prometheus, Grafana, Datadog
- AI Frameworks: LangChain, LangGraph
- Programming Languages: Python, TypeScript
Team & Environment
You will be part of the Professional Services team at LangChain. Our mission is to make intelligent agents ubiquitous, building the foundation for agent engineering in the real world within a collaborative team environment with a strong engineering culture.
Benefits & Compensation
- Medical, dental, and vision coverage
- Flexible vacation
- 401(k) plan
- Life insurance
Work Mode
This role follows a hybrid work model and is located in London, UK.
LangChain is an equal opportunity employer.
