JFrog
DevOps
CTOAILabArchitect
“CTO AI Lab Architect at JFrog. Skills: AI-powered supply chain intelligence, Agent systems and governance, AI woven across the platform, Evaluation and measurement, Technology scouting and signal analysis. build AI-powered supply chain intelligence. build and secure AI agents that operate against registries, pipelines, and deployment systems”
Industry & Context.
AI-powered supply chain intelligence; Agent systems and governance; AI woven across the platform; Evaluation and measurement; Technology scouting and signal analysis; Judgment under ambiguity; take a hard, open question and come back with a working prototype and data
What They're Looking For.
Must Have
7+ years building distributed systems, Hands-on with AI/ML systems, coding in Python and/or Go, Judgment under ambiguity
Nice to Have
Experience building AI agent systems, Hands-on with MLOps or ML model management, Background in DevSecOps, supply chain security, or compliance, Familiarity with JFrog's platform (Artifactory, Xray, Curation, AI Catalog, JFrog ML, JFrog CLI), Prior work in a research lab, innovation team, or early-stage startup where you built zero-to-one
What You'll Do.
build AI-powered supply chain intelligence
build and secure AI agents that operate against registries
and deployment systems
design the next generation of governance models
and provenance for AI artifacts
capabilities that make developers faster wherever speed
or judgment can be amplified
build benchmarks and pipelines that prove AI-powered approaches actually outperform traditional ones
evaluate new AI frameworks and security innovations as they emerge
Concise assessments of what's real
and what it means for JFrog
How You'll Work.
Team & Collaboration
sit across the entire platform; grow what works into products alongside JFrog's product and engineering groups; A small team of senior peers who push back on your ideas and make them better
Communication Scope
Concise assessments
Process & Methodology
prototype fast, demo often
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