Solutions Architect (Amsterdam)

Stack

Responsibilities

• ▹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
• ▹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
• ▹Travel up to 25%

Requirements

• ▹7+ years of experience in hands-on, customer-facing technical roles such as Solutions Architect or Forward Deployed Engineer; candidates with an unusual background but the right skillset, such as former founders, are welcome
• ▹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

Soft skills

What we offer

• ▹Competitive compensation: base salary, variable compensation for relevant roles, meaningful equity and other benefits; the exact package varies by role, level and location
• ▹Medical, dental and vision coverage
• ▹Flexible vacation
• ▹401(k) plan (US)
• ▹Meals on in-office days (US)
• ▹Team members in the EU, UK and APAC receive locally competitive benefits aligned with regional norms and regulations

About the company

LangChain's mission is to make intelligent agents ubiquitous. It grew out of widely adopted open-source tools and now also offers a platform (LangSmith) for building, evaluating, deploying and operating agents, alongside its open source frameworks (LangChain, LangGraph, Deep Agents). The company raised $125M at Series B and has 100M+ monthly open source downloads and 6,000+ active LangSmith customers.