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Deployed Architect, Professional Services (APAC)

LangChain· Customer Engineering
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Remote$185k - $260kFull-timePosted 4mo ago

About the role

Role focused on designing, deploying, and optimizing production-grade AI infrastructure and multi-agent systems for enterprise customers. Combines software development, infrastructure/platform engineering, and customer-facing work with emphasis on Kubernetes, cloud infrastructure, LangChain/LangGraph-based agent development, and evaluation frameworks.

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 using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and 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 a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer
  • Infrastructure & Platform: 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure); Strong Kubernetes experience (GKE, EKS, or AKS); Experience with Infrastructure as Code (Terraform, Helm) and GitOps; Knowledge of database systems with HA, replication, backup strategies, and sizing; Experience designing high-availability and disaster recovery solutions; Networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog); CI/CD pipelines for infrastructure and applications
  • Agent Engineering & Development: 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; 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; Strong Python and/or TypeScript development skills
  • Customer-Facing: Customer-facing experience with enterprise customers; Experience conducting technical assessments or infrastructure audits; Strong communication skills

Skills

Required:Cloud infrastructure designKubernetes (GKE, EKS, AKS)Infrastructure as CodeLangChain / LangGraphEvaluation frameworks for AIPrompt engineeringVector stores / RAGPython/TypeScript

Benefits

  • Benefits include 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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