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Partner Engineer

LangChain· Partnerships
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San Francisco, CA$185k - $225kFull-timePosted 2mo ago

About the role

Technical foundation for cloud partnerships, enabling co-sell and integration with AWS, Google Cloud, and Microsoft Azure through reference architectures, integration patterns, and enablement programs. Builds assets to help cloud providers, systems integrators, and GSIs deploy LangChain at scale.

Responsibilities

  • Own the technical relationship with partner and field teams at AWS, Google Cloud, and Microsoft Azure
  • Build reference architectures and integration patterns for running LangChain, LangGraph, DeepAgents and LangSmith on each cloud, including integrations with each provider's native AI and data services (for example Amazon Bedrock, Gemini Enterprise, AzureAI)
  • Support the technical side of co-sell: joint solution briefs, deployment guides, and validated architectures that cloud sellers can bring to their customers
  • Partner with cloud account teams on solutioning for named accounts, from discovery through technical win
  • Keep our marketplace listings, deployment options, and co-sell technical assets current as the product evolves
  • Enable cloud field and partner teams through workshops, demos, and technical briefings so they can position LangChain without pulling in our engineers for every deal
  • Build and maintain joint technical plans with each cloud provider, turning shared account and industry priorities into a concrete set of reference assets
  • Support systems integrators and resellers when they're part of a cloud deal, such as marketplace private offers transacted through a channel partner or joint deployments on a customer's cloud
  • Give those partners the technical assets they need to scope and deliver LangChain on AWS, GCP, or Azure, using existing reference architectures and implementation guides rather than a standalone enablement program
  • Serve as a technical escalation point for complex deployments sourced through cloud partners
  • Represent LangChain at cloud provider events, summits, and joint webinars
  • Gather feedback from cloud partners and the field, and route it back to product and engineering

Qualifications

  • 7+ years of experience in a technical, partner-facing or customer-facing role such as Partner Engineer, Partner Solutions Architect, Solutions Architect, or Sales Engineer
  • Experience at or alongside a hyperscaler is a strong plus
  • Track record of working with AWS, Google Cloud, or Microsoft Azure partner and field teams to drive co-sell, from joint solution design through technical win
  • Familiarity with cloud marketplace mechanics such as listings, private offers, and channel partner offers, and with hyperscaler co-sell programs
  • Experience enabling a partner's field or technical teams so they can position and deploy a product without depending on you for every deal
  • Strong presentation and technical communication skills, able to translate between technical and business stakeholders, including C-suite executives
  • Hands-on experience building with LLM frameworks such as langchain, langgraph, or similar, including RAG patterns and agent architecture
  • Experience designing evaluation frameworks and iterating on prompts and agent behavior based on results
  • Strong Python skills
  • Deep working knowledge of at least one of AWS, GCP, or Azure, and familiarity with the other two. Strong background in GCP or Azure preferred
  • Hands-on experience with cloud AI platforms and managed model services
  • Experience designing integrations, sample repositories, or reference architectures that other teams can pick up and reuse
  • Familiarity with vector stores, tool integration, and API design in agentic systems

Skills

Required:Cloud partner program and field enablementReference architectures and integration patternsLLM frameworks (LangChain, LangGraph) and RAGPython

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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