Job Summary:
LangChain is a company focused on making intelligent agents ubiquitous by providing a platform for building and operating AI agents. The Solutions Architect will work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems, combining software development and customer-facing skills to ensure customer success.
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
Qualifications:
Required:
• 7+ years of experience in a technical, hands-on customer-facing roles 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.
• 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.
Company:
LangChain is a platform that provides open-source frameworks and tools for engineering and deploying language model agents. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.