LangChain
Partner Solutions Architect, Applied AI
LangChain, San Francisco, California, United States, 94199
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Partner Solutions Architect, Applied AI
role at
LangChain .
About The Role We are hiring our first Partner Solutions Architect to help define how partners and enterprises adopt agentic AI using LangChain, LangGraph, and LangSmith. This is a hands‑on technical role working closely with cloud providers, system integrators, and technology partners to build integrations, reference architectures, and production‑ready demos. You will work at the intersection of engineering, product, partnerships, and GTM, translating partner and customer needs into scalable technical solutions.
What You’ll Do
Partner with cloud providers, system integrators, and ISVs to design and build agentic AI solutions.
Create production‑ready solutions, sample repositories, and reference architectures using LangChain, LangGraph, and LangSmith.
Collaborate closely with product and engineering teams to support partner integrations and solution design.
Enable partners through technical workshops, solution walkthroughs, and hands‑on collaboration.
Gather partner and customer feedback and translate it into actionable insights for product and integration roadmaps.
How to Be Successful in the Role
5 or more years in technical, customer or partner facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, DevRel, or Applied AI Engineer.
Strong Python skills and experience building and deploying solutions on cloud platforms, with AWS preferred.
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 Benefits 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.
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Partner Solutions Architect, Applied AI
role at
LangChain .
About The Role We are hiring our first Partner Solutions Architect to help define how partners and enterprises adopt agentic AI using LangChain, LangGraph, and LangSmith. This is a hands‑on technical role working closely with cloud providers, system integrators, and technology partners to build integrations, reference architectures, and production‑ready demos. You will work at the intersection of engineering, product, partnerships, and GTM, translating partner and customer needs into scalable technical solutions.
What You’ll Do
Partner with cloud providers, system integrators, and ISVs to design and build agentic AI solutions.
Create production‑ready solutions, sample repositories, and reference architectures using LangChain, LangGraph, and LangSmith.
Collaborate closely with product and engineering teams to support partner integrations and solution design.
Enable partners through technical workshops, solution walkthroughs, and hands‑on collaboration.
Gather partner and customer feedback and translate it into actionable insights for product and integration roadmaps.
How to Be Successful in the Role
5 or more years in technical, customer or partner facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, DevRel, or Applied AI Engineer.
Strong Python skills and experience building and deploying solutions on cloud platforms, with AWS preferred.
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 Benefits 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.
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