LangChain is seeking a Solutions Architect to join our Professional Services team. You’ll work directly with enterprise customers, combining software development, infrastructure engineering, and customer-facing skills to architect scalable, secure infrastructure and build reliable AI agent applications. Our mission is to make intelligent agents ubiquitous, and you'll build the foundation for agent engineering in the real world within a collaborative team environment.
What You'll Do
- Design scalable, highly-available infrastructure for AI platform deployments, including compute, storage, networking, and security.
- Implement enterprise integration patterns, Infrastructure as Code, multi-region HA/DR strategies, and CI/CD pipelines.
- Design multi-agent systems using different patterns and implement agent logic using modern frameworks.
- Create comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment and operations.
- Lead technical maturity assessments and work directly with enterprise customers to understand requirements and present recommendations.
- Partner with Engagement Managers and internal Product and Engineering teams.
What We're Looking For
- 7+ years of experience in technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer.
- 3+ years designing and deploying production infrastructure on major cloud platforms (GCP, AWS, or Azure).
- Strong Kubernetes experience including cluster design, autoscaling, and multi-zone deployments.
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices.
- Knowledge of database systems 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 building production AI/ML applications or agents.
- Strong experience with LLM frameworks like LangChain or LangGraph 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 and conducting technical assessments or infrastructure audits.
- Strong communication skills with ability to explain technical concepts to diverse audiences.
Technical Stack
- Cloud: GCP, AWS, Azure
- Orchestration: Kubernetes, GKE, EKS, AKS
- Infrastructure as Code: Terraform, Helm, GitOps
- Observability: Prometheus, Grafana, Datadog
- AI Frameworks: LangChain, LangGraph
- Languages: Python, TypeScript
Team & Environment
You will be part of our Professional Services team, working directly with enterprise customers in a collaborative environment with a strong engineering culture.
Benefits & Compensation
- Medical, dental, and vision coverage
- Flexible vacation policy
- 401(k) plan
- Life insurance
Work Mode
This is a hybrid position based in Amsterdam, Netherlands.
LangChain is an equal opportunity employer.
