LangChain is looking for a Solutions Architect to join our Professional Services team. In this role, you'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. This is a hands-on role combining software development, infrastructure engineering, and customer-facing skills.
What You'll Do
- Design scalable, highly-available infrastructure for AI platform deployments, including compute, storage, networking, security, enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines.
- 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 and operations.
- 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
- 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 and problem-solving skills, with the ability to analyze complex requirements and explain technical concepts to diverse audiences.
- Experience working cross-functionally with engineering teams, product teams, and customers.
- A consultative approach with the ability to understand customer needs, provide recommendations, and guide implementation.
- Ability to balance infrastructure architecture with agent development work.
- A strong engineering background with hands-on development experience.
Technical Stack
- Cloud Platforms: GCP, AWS, Azure
- Orchestration: Kubernetes, GKE, EKS, AKS, Terraform, Helm
- Observability: Prometheus, Grafana, Datadog
- AI Frameworks: LangChain, LangGraph
- Languages: Python, TypeScript
Team & Environment
You'll be joining our Professional Services team, working in a collaborative, strong engineering culture with a direct impact on customer success. You'll have the opportunity to shape best practices and work with cutting-edge AI technology.
Benefits & Compensation
- Compensation: $170k to $190k base salary plus meaningful equity.
- Health and dental coverage.
- Flexible vacation policy.
- 401(k) plan.
- Life insurance.
Work Mode
This is a hybrid role based in San Francisco (SF) or New York (NY).
LangChain is an equal opportunity employer.
