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Deployed Architect, Professional Services (Remote)

LangChain· Customer Engineering
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Remote$170k - $270kFull-timePosted 6mo ago

About the role

Deployed Architect to join LangChain’s Professional Services team. Responsible for designing, deploying, and optimizing production-grade AI infrastructure and multi-agent systems for enterprise customers. Combines software development, infrastructure/platform engineering, and customer-facing responsibilities to deliver scalable, secure deployments and well-evaluated agent applications.

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, implement agent logic using modern frameworks (langchain/langgraph), design evaluation frameworks, optimize prompts with A/B testing, 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

  • 7+ years of experience in 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 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)
  • 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 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 to explain technical concepts to diverse audiences

Skills

Required:Cloud architecture and cloud platformsKubernetesInfrastructure as CodeLLM frameworksAgent-oriented developmentPrompt engineering

Benefits

  • medical, dental, and vision coverage
  • flexible vacation
  • a 401(k) plan
  • meals on in-office days in the US
  • and more
Last updated Oct 14, 2026. Interested? Apply on the company site.

About LangChain

Engineer reliable agents

LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.

AI agentsagent engineeringbrex-fastest-growing-2025liquid-ai-recruiting-targetopen source frameworksplatform
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