ML Solutions Architect

3 days ago

Slough Berkshire, United Kingdom JetBrains Full time

We believe that the data domain will soon undergo the same kind of disruption that is currently happening in software engineering. AI agents will become increasingly capable of solving tasks related to analytics, working with company data, and data engineering.
JetBrains is building the next generation of intelligent tooling for the global software and data ecosystem. Our mission is to create the infrastructure that automates the discovery, structuring, and evaluation of rich, organization-specific context, enabling AI agents to operate reliably within complex company environments.
We are seeking an ML Solutions Architect to work alongside experienced engineers, researchers, and product leaders at the intersection of AI, developer tools, and large-scale systems. If you’re passionate about democratizing data and transforming how businesses operate in the new era of agents, we want you on our team
Architecting systems that connect internal data, metrics, documents, and tools into robust contextual foundations for agents.
Defining and maintaining metrics and benchmarks for context quality, relevance, and downstream task success.
Collaborating with product and engineering teams to identify customer feedback and shape the platform roadmap.
Deploying and scaling LLM-powered applications using APIs (e.g. Strong Python skills.
Proficiency in English, both written and verbal.
It Will Be An Added Bonus If You Have
Worked with company-internal data, metrics, or BI tools.
Maintained and supported Python open-source projects (e.g. handling community issues, reviews, releases, and long-term stability for external users).
Evaluated LLM output quality in real-world applications.
Worked with reinforcement learning for agents and/or multi-agent systems, especially in production or complex simulated environments.
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