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LangChain

Solutions Architect, Applied AI

Reposted 16 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA
170K-200K Annually
Senior level
In-Office
San Francisco, CA
170K-200K Annually
Senior level
The Partner Engineer will design and build AI solutions in collaboration with technical partners and enterprises using LangChain and related technologies. The role involves creating production-ready demos, architectures, and enabling partners through workshops while gathering insights for product and integration roadmaps.
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About The Role:

We are hiring our first Applied AI 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, technology ISV and startups, and system integrators 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

Top Skills

AWS
Cloud Platforms
Langchain
Langgraph
Langsmith
Ml Infrastructure
Python

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