Job Description
About Zilliz
Zilliz is building the next generation of data infrastructure for AI. Founded in 2017 by the creators of Milvus, one of the world's most popular open-source vector databases, we help developers and enterprises build, deploy, and scale AI-powered applications, from semantic search and RAG to emerging agentic AI workloads.
Backed by $113 million in funding from leading global investors, Zilliz has established a strong presence in the AI infrastructure market. Milvus has earned over 46,000 GitHub stars, and our technology has reached more than 10,000 enterprise users worldwide. Companies including OpenEvidence, Exa, and Filevine rely on Zilliz Cloud to power their AI applications.
Building on our roots in vector database technology, we're expanding Zilliz Cloud into a broader AI data platform with Zilliz Vector Lakebase. As AI continues to reshape how applications are built and how data is used, we're focused on making the underlying infrastructure more powerful, scalable, and accessible to organizations worldwide.
Position Summary
As a Solutions Architect at Zilliz, you'll help AI startups and digital-native enterprises design, validate, and operate production retrieval systems on Zilliz Cloud (fully-managed Milvus). Working with engineering leaders and hands-on builders, you'll turn product goals into data models, search architectures, benchmarks, and deployment plans across RAG, hybrid and multimodal search, recommender systems, agent memory, and semantic analytics workloads.
This is a deeply technical, customer-facing role. The strongest candidates move comfortably between a whiteboard and a profiler: they understand how schema, vector dimension, filter predicates, and indexes could affect latency, recall, throughput, reliability, and cost, as well as explain those tradeoffs to engineers and business leaders alike.