Deployed Architect, Professional Services (Amsterdam)

LangChain is building the foundation for agent engineering, helping teams move from prototype AI systems to production-ready autonomous agents that can operate reliably at scale. Founded with backing from top-tier investors including Sequoia and Benchmark, the company has grown from widely adopted open-source tools to offering a comprehensive platform for building, evaluating, deploying, and operating agents. LangChain serves over 6,000 active customers and powers agent systems at major enterprises including Klarna, Coinbase, Workday, and 35% of the Fortune 500.

The company's platform combines LangSmith for observability and deployment, open-source frameworks like LangChain and LangGraph, and the LangSmith Engine for continuous agent improvement. As the AI market expands with 94.5% growth in AI/ML engineer roles year-over-year and enterprise adoption of AI infrastructure accelerating, LangChain is positioned at the forefront of production-grade agent deployment.

LangChain's Professional Services team is seeking a Deployed Architect to work directly with enterprise customers on designing, deploying, and optimizing production AI infrastructure and multi-agent systems. You'll combine deep technical expertise in infrastructure engineering with agent system architecture and hands-on software development. This role bridges customer needs with engineering excellence, requiring you to move fluidly between platform design, agent development, and customer strategy.

What you'll do

• Design and deploy scalable, highly-available cloud infrastructure for AI platforms including compute, storage, networking, and security across GCP, AWS, or Azure, plus multi-region disaster recovery and CI/CD automation

• Build Infrastructure as Code using Terraform and Helm, implementing GitOps practices and managing Kubernetes clusters (GKE, EKS, or AKS) with autoscaling and multi-zone configuration

• Architect multi-agent systems using modern frameworks like LangChain and LangGraph, handling state management, vector stores, RAG patterns, and tool integration

• Design and implement evaluation frameworks for AI applications, optimize prompts through A/B testing, and guide customers through deployment and operational best practices

• Lead technical maturity assessments with enterprise customers, understand their requirements, and present infrastructure and agent strategy recommendations

What you'll bring

• Seven or more years in hands-on customer-facing technical roles such as Solutions Architect, Deployed Architect, or Forward Deployed Engineer

• Three or more years designing and deploying production infrastructure on cloud platforms, with strong Kubernetes expertise including cluster design, autoscaling, and multi-zone deployments

• One or more years building production AI/ML applications or agents with hands-on LLM framework experience

• Strong Python and/or TypeScript development skills with demonstrated experience in API design, error handling, and tool integration patterns

• Proven ability to conduct technical assessments and infrastructure audits, communicate complex concepts to diverse audiences, and work cross-functionally with engineering and product teams

• Knowledge of database systems including high-availability strategies, networking fundamentals, security practices (SSO, RBAC, TLS, secrets management), and observability tools like Prometheus, Grafana, or Datadog

What they offer

• Base salary of 110,000 to 185,000 EUR plus equity

• Remote work based in Amsterdam with up to 25% travel

• Competitive benefits and perks package alongside variable compensation for applicable roles