Join a greenfield engineering effort at the heart of JPMorgan Chase's AI strategy. As part of the Corporate Technology Data and Analytics Services organization, you will help build a platform that enables governed, trusted firm knowledge to be accessed by AI agents and tools. This is a rare opportunity to shape architecture from the ground up, collaborate with a small, senior team, and grow your expertise at the intersection of data engineering and applied AI, with hands-on learning in graph technologies and AI tooling.
Join a greenfield engineering effort at the heart of JPMorgan Chase's AI strategy. As part of the Corporate Technology Data and Analytics Services organization, you will help build a platform that enables governed, trusted firm knowledge to be accessed by AI agents and tools. This is a rare opportunity to shape architecture from the ground up, collaborate with a small, senior team, and grow your expertise at the intersection of data engineering and applied AI, with hands-on learning in graph technologies and AI tooling.
As a Lead Software Engineer in the Data Core Engineering group, you will design and build Context Plane – a platform that connects the data mesh and other knowledge sources to AI agents and tools that consume firm context. You will own components end-to-end, from ingestion pipelines that load firm knowledge into graph and vector stores, to the serving layer that retrieves and returns governed, provenance-tagged context to downstream agents. Because this platform is early-stage, your engineering decisions will have lasting impact on its evolution.
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As a Lead Software Engineer in the Data Core Engineering group, you will design and build Context Plane – a platform that connects the data mesh and other knowledge sources to AI agents and tools that consume firm context. You will own components end-to-end, from ingestion pipelines that load firm knowledge into graph and vector stores, to the serving layer that retrieves and returns governed, provenance-tagged context to downstream agents. Because this platform is early-stage, your engineering decisions will have lasting impact on its evolution.
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