Solutions Architect, Applied AI

About LangChainAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.About The RoleWe'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.What You’ll DoPartner with leading cloud providers, and leading technology ISVs to design and build agentic AI solutions that showcase what's possible with LangChainCreate production-grade reference architectures, sample repositories, and integration patterns that partners can take to their customersOwn technical relationships with partner engineering and product teams, influencing their AI roadmaps and integration prioritiesAuthor technical content - blog posts, architecture guides, and whitepapers - that establishes LangChain's point of view on agentic AISupport strategic customer implementations alongside partner teams, bringing expertise on agent architectures, evaluation frameworks, and production deployment patternsBuild industry-specific agentic AI solutions (financial services, healthcare, retail, etc.) that partners can customize and deployCreate repeatable playbooks and enablement materials that help our sales and partner teams scaleWork at the intersection of engineering, product, partnerships, and GTM to drive pipeline and revenueHow to Be Successful in the Role: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 EngineerStrong 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.Compensation and BenefitsWe offer competitive compensation that includes base salary, variable co ... (truncated, view full listing at source)