Partner Solutions Architect, Applied AI
LangChain
Job Summary
LangChain is seeking its first Partner Solutions Architect to drive the adoption of agentic AI using LangChain, LangGraph, and LangSmith. This hands-on technical role involves collaborating with cloud providers, system integrators, and technology partners to build integrations, reference architectures, and production-ready demos. The architect will work across engineering, product, partnerships, and GTM teams, translating partner and customer needs into scalable technical solutions and enabling partners through workshops and collaboration.
Must Have
- 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.
- 5+ years in technical, customer, or partner-facing roles (e.g., Solutions Architect, Sales Engineer, DevRel).
- Strong Python skills and experience building and deploying solutions on cloud platforms (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 for technical and non-technical audiences.
- Ability to thrive in a fast-paced, scaling environment (Startup DNA).
Good to Have
- Experience taking generative AI or agent-based systems from prototype to production.
- Hands-on experience with LangChain, LangGraph, LangSmith, or similar agent frameworks.
- Background in cloud-native architectures including serverless, containerized, or VPC based deployments.
- Prior open source contributions or technical content creation.
Perks & Benefits
- Health and dental coverage
- Flexible vacation
- 401(k) plan
- Life insurance
Job Description
Partner Solutions Architect, Applied AI
Location
San Francisco, CA
Employment Type
Full time
Location Type
On-site
Department
GTM
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