Solutions Architect

Job Description

About Dify

Dify is an open-source platform for building LLM applications. We help developers and enterprises bring AI into real business workflows through capabilities such as workflow orchestration, agents, and retrieval-augmented generation (RAG). Our team serves a global market and helps customers move from prototypes to practical applications.

About the Role

You will help enterprise customers translate business needs into credible, testable solutions built on Dify. Working with regional Sales, Product, Engineering, and Delivery, you will guide technical discovery, design architectures, build demonstrations, and lead proofs of concept. Your work will help customers make informed technical decisions and establish a clear scope and expectations for implementation.

What You Will Do

Conduct discovery with business stakeholders, IT teams, and architects to understand use cases, existing systems, purchasing considerations, and key technical constraints.

Design solutions using Dify, explaining where workflows, agents, and RAG fit and how they integrate with customer data, business systems, and deployment environments.

Design and deliver demonstrations and PoCs. Define scope, success criteria, and validation plans that address the customer’s key evaluation questions.

Address questions about architecture, self-hosted deployment, security, permissions, scalability, and integration. Explain product capabilities and limitations clearly and involve internal specialists when needed.

Partner with Sales to advance opportunities, identify technical blockers and decision risks, and provide proposals, evaluation materials, and technical guidance.

Ensure clear handovers to FDE, Delivery, and Support. Develop reusable solution patterns, demos, and best practices, and share customer needs and competitive insights with Product and Engineering.

What You Bring

Experience in presales, solutions architecture, or customer engineering for enterprise software, cloud services, data platforms, or related technologies, including participation in real customer evaluations.

A solid foundation in systems architecture and integration. You can discuss APIs, data flows, deployment options, and common security and access requirements with customer technical teams.

An understanding of LLM applications, workflows, agents, and RAG, with the ability to build demos or prototypes and explain design trade-offs.

The ability to connect solutions and demonstrations to business problems, explain customer value and technical feasibility, and guide evaluations toward clear conclusions.

Professional working proficiency in English for technical discussions, product demonstrations, and written communication with international customers.

Initiative, curiosity, and reliable execution. You can make progress amid uncertainty, collaborate with Sales and Engineering, and travel as customer projects require.

Nice to Have

Presales experience with AI, open-source software, developer tools, or enterprise platforms.

Experience supporting customers across regions or in emerging markets.

Familiarity with Kubernetes, cloud-native architectures, or enterprise self-hosted deployments, or coding and integration projects you can demonstrate.