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Solutions Architect, Applied AI
Location
Utah
Posted
110 days ago
Salary
$170K - $200K / year
Seniority
Senior
Job Description
Solutions Architect, Applied AI
LangChain
• 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
Job Requirements
- 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.
Benefits
- medical, dental, and vision coverage
- flexible vacation
- a 401(k) plan
- life insurance
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