Deployed Architect, Professional Services (Remote)

LangChain
Los Angeles, Salt Lake City, United States, Seattle, Denver
Workplace: RemoteFull time170,000 - 190,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 7+ yearsSkills: ["Problem-solving","Communication","Cross-functional collaboration","Consultative approach","Customer-facing technical explanation"]

Join the Professional Services team to design, deploy, and optimize production-grade AI infrastructure and agent systems for enterprise customers. You’ll architect scalable and secure infrastructure deployments, build reliable multi-agent applications with strong evaluation, and guide deployment/operations. The role blends infrastructure and platform engineering with agent engineering, from Kubernetes cluster design to multi-agent architecture, working closely with Engagement Managers and engineering teams.

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FursaFursa
LangChain
LangChain
5 months ago

Deployed Architect, Professional Services (Remote)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Join the Professional Services team to design, deploy, and optimize production-grade AI infrastructure and agent systems for enterprise customers. You’ll architect scalable and secure infrastructure deployments, build reliable multi-agent applications with strong evaluation, and guide deployment/operations. The role blends infrastructure and platform engineering with agent engineering, from Kubernetes cluster design to multi-agent architecture, working closely with Engagement Managers and engineering teams.
Location: Los Angeles, Salt Lake City, United States, Seattle, Denver
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design scalable, highly-available infrastructure for AI platform deployments, including compute/storage/networking/security and enterprise integration patterns.
  • •Create multi-region high-availability and disaster recovery strategies and set up CI/CD pipelines for infrastructure and applications.
  • •Build and architect multi-agent systems, implementing agent logic with LangChain/LangGraph frameworks and guiding deployment/operations.
  • •Lead technical maturity assessments and partner with Engagement Managers and Product/Engineering teams to deliver customer recommendations.
  • •Design evaluation frameworks for AI applications, including prompt optimization with A/B testing and work with systems like vector stores and RAG patterns.

Pay and Benefits

Salary: 170,000 - 190,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kPaid LeaveMeal Allowance

Key Requirements

  • •7+ years of hands-on, technical customer-facing experience (e.g., Solutions Architect or Forward Deployed Engineer).
  • •3+ years 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.
  • •1+ years building production AI/ML applications or agents using LLM frameworks (LangChain, LangGraph or similar) and creating evaluation frameworks.
Experience:7+ yearsEnterprise customersAI/MLInfrastructureAgent engineering
Skills:Problem-solvingCommunicationCross-functional collaborationConsultative approachCustomer-facing technical explanation
Tech Stack:KubernetesGKEEKSAKSGCPAWSAzureTerraformHelmGitOpsCI/CDPrometheusGrafanaDatadogSSORBACTLSSecrets managementLangChainLangGraph

Company Brief

LangChain
Provides an open-source framework and commercial platform (LangSmith/LangGraph) for building, testing, monitoring, and deploying LLM-powered applications and agentic AI for developers and enterprises.
Industry: Developer Tools
Company Size: Medium (51 to 250 employees)
Revenue: USD 10M to 25M
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: San Francisco, United States
Founded: 2022
WebsiteLinkedIn