About the role Data Cloud is Rippling’s unified data platform that makes operational data across HR, IT, and Finance queryable, governable, and actionable for analytics, reporting, and intelligent product workflows. We’re hiring a Staff Software Engineer to build the AI platforms within Data Cloud. At Rippling, you aren’t just building an AI feature; you are architecting the intelligence layer for the unified workforce system. This is a high‑impact platform role focused on building state‑of‑the‑art systems for schema retrieval, query planning, and execution. You will partner closely with Rippling’s AI Platform team to define shared primitives for model tuning, inference, evaluation, and development of task‑specific agent harnesses, while owning Data Cloud‑specific capabilities that improve quality, reliability, and scale.

What you will do - Develop a state‑of‑the‑art schema retrieval system that operates over Rippling native and customer‑defined schema. - Implement and scale Data Cloud’s AI training pipelines for data retrieval, from designing data generation to managing training clusters. - Design and build RL training environments for structured and unstructured data retrieval. - Develop agent harnesses enabling product teams to safely build AI features on Data Cloud. - Optimize model serving and inference for scale from GPU‑level performance to agentic user experiences. - Partner with AI Platform, Infrastructure, Security, and Product Engineering to drive architecture, standards, and rollout plans. - Lead technical direction, mentor engineers, and drive execution on mul

About the role Data Cloud is Rippling’s unified data platform that makes operational data across HR, IT, and Finance queryable, governable, and actionable for analytics, reporting, and intelligent product workflows. We’re hiring a Staff Software Engineer to build the AI platforms within Data Cloud. At Rippling, you aren’t just building an AI feature; you are architecting the intelligence layer for the unified workforce system. This is a high‑impact platform role focused on building state‑of‑the‑art systems for schema retrieval, query planning, and execution. You will partner closely with Rippling’s AI Platform team to define shared primitives for model tuning, inference, evaluation, and development of task‑specific agent harnesses, while owning Data Cloud‑specific capabilities that improve quality, reliability, and scale.

What you will do - Develop a state‑of‑the‑art schema retrieval system that operates over Rippling native and customer‑defined schema. - Implement and scale Data Cloud’s AI training pipelines for data retrieval, from designing data generation to managing training clusters. - Design and build RL training environments for structured and unstructured data retrieval. - Develop agent harnesses enabling product teams to safely build AI features on Data Cloud. - Optimize model serving and inference for scale from GPU‑level performance to agentic user experiences. - Partner with AI Platform, Infrastructure, Security, and Product Engineering to drive architecture, standards, and rollout plans. - Lead technical direction, mentor engineers, and drive execution on mul