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At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production -- a concept we call “liquid software.” Wouldn't it be amazing if you could join us in our journey? Most architects sit behind a desk. This one doesn't. As our Community Deployed AI Architect, you'll be embedded in the San Francisco AI ecosystem: attending meetups, demos, hackathons, and industry events where practitioners are doing interesting work. You'll need technical depth to hold substantive conversations with researchers and engineers, and enough curiosity to consistently come away having learned something useful. This role is modeled on the Community Deployed AI Architect archetype pioneered by companies like OpenAI and Anthropic, but with a twist. Where traditional FDEs embed with a single customer, you embed with the entire ecosystem. Your customer is the SF AI community. Your deliverable is intelligence. You'll represent our company as a peer, not a pitch. Everything you learn (the tools gaining traction, the patterns that are working, the problems enterprises keep running into) feeds directly back into our product, strategy, and roadmap.
Job Responsibility
Field Intelligence & Ecosystem and Community Scanning
Deep Community Relationships
Technical Credibility & Hands-On Evaluation
Internal Amplification
Requirements
7-10+ years in a technical hands-on role: engineering, ML, solutions engineering, forward-deployed engineering, or similar
Hands-on experience with modern AI/ML tooling: LLMs, RAG pipelines, agentic frameworks (LangChain, LlamaIndex, AutoGen, or equivalent)
Strong Python skills
comfort with APIs, cloud infrastructure, and developer tooling
Demonstrated presence in the AI community — meetups, open-source, writing, speaking, any of it
Based in San Francisco or willing to be deeply embedded here
Nice to have
Prior experience in a forward deployed, field engineering, or developer relations role
An existing network in the SF AI/ML ecosystem
Familiarity with enterprise software procurement and IT buyer personas
Public writing, a newsletter, or a following in the AI space