Solutions Architect, Applied AI

At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.

Our open source frameworks - LangChain and LangGraph see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.

LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.

We're hiring our first Solutions Architect, Applied AI to define how the world's leading enterprises and technology partners adopt agentic AI using LangChain, LangGraph, and LangSmith. This is not a typical SA role. You'll be at the center of the agentic AI ecosystem - working with leading cloud providers, leading data platforms, inference providers, and systems integrators to shape how production AI agents get built and deployed. You'll have a direct line to our product and engineering teams, influence our technical roadmap, and help define the patterns that enterprises use to go from prototype to production.

• Partner with leading cloud providers, and leading technology ISVs to design and build agentic AI solutions that showcase what's possible with LangChain

• Create production-grade reference architectures, sample repositories, and integration patterns that partners can take to their customers

• Own technical relationships with partner engineering and product teams, influencing their AI roadmaps and integration priorities

• Author technical content - blog posts, architecture guides, and whitepapers - that establishes LangChain's point of view on agentic AI

• Support strategic customer implementations alongside partner teams, bringing expertise on agent architectures, evaluation frameworks, and production deployment patterns

• Build industry-specific agentic AI solutions (financial services, healthcare, retail, etc.) that partners can customize and deploy

• Create repeatable playbooks and enablement materials that help our sales and partner teams scale

• Work at the intersection of engineering, product, partnerships, and GTM to drive pipeline and revenue

• 5+ years in technical, customer-facing or partner-facing roles such as Solutions Architect, Sales Engineer, Partner Engineer, Forward Deployed Engineer, Developer Relations, or Applied AI Engineer

• Strong Python skills and hands-on experience building and deploying solutions on at least one major cloud platform (AWS, Azure, or GCP)

• Experience working with LLMs, RAG, agents, orchestration frameworks, or ML infrastructure.

• Ability to collaborate effectively with external partners on complex technical projects.

• Strong communication skills and comfort explaining technical concepts to both technical and non technical audiences.

• Start up DNA - the ability to thrive in a fast paced, scaling environment.

• Experience taking generative AI or agent based systems from prototype to production, preferred.

• Hands on experience with LangChain, LangGraph, LangSmith, or similar agent frameworks, would be a big bonus.

• Background in cloud native architectures including serverless, containerized, or VPC based deployments, preferred.

• Prior open source contributions or technical content creation, would be a bonus.

We offer competitive compensation including base salary, equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Compensation varies based on role, level, and location.

Annual salary range: $170,000 to $200,000 USD