---
title: "Forward Deployed Engineering: Delivering Business Outcomes with AI"
description: "Databricks is formalizing its Forward Deployed Engineering (FDE) organization to address customers’ shift from migration and data-pipeline requests toward business outcomes with AI. FDE brings Professional Services together around an engineering-led model that embeds engineers with customers, supports modernization and production AI, and works with partners and Databricks R&D. In the cited examples, teams migrated five-plus petabytes of JPMC Consumer and Community Banking Risk data and more than 500 notebooks in four months, while Fox used Lakebase, AI Search, Databricks Apps, and Model Serving to redesign fan experiences. The organization says its engagements use shared OKRs, rapid prototype-to-production delivery, embedded engineering, outcome-aligned commercial options, and global partner coverage, with Fox reporting that Sports AI users spend approximately twice as long in the app."
---

# Forward Deployed Engineering: Delivering Business Outcomes with AI

[Databricks](https://yomu.fyi/company/databricks) · Jason Martin · Jun 11, 2026

**Type:** Announcement

## Summary

Databricks is formalizing its Forward Deployed Engineering (FDE) organization to address customers’ shift from migration and data-pipeline requests toward business outcomes with AI. FDE brings Professional Services together around an engineering-led model that embeds engineers with customers, supports modernization and production AI, and works with partners and Databricks R&D. In the cited examples, teams migrated five-plus petabytes of JPMC Consumer and Community Banking Risk data and more than 500 notebooks in four months, while Fox used Lakebase, AI Search, Databricks Apps, and Model Serving to redesign fan experiences. The organization says its engagements use shared OKRs, rapid prototype-to-production delivery, embedded engineering, outcome-aligned commercial options, and global partner coverage, with Fox reporting that Sports AI users spend approximately twice as long in the app.

## Context

Customers have increasingly shifted from requesting migrations and data pipelines to seeking solutions for business problems. Databricks says modernization, including consolidating onto the Lakehouse, retiring legacy warehouses, and rationalizing data pipelines, often enables downstream AI outcomes.

## Approach / What changed

Databricks is bringing its Professional Services organization together as Forward Deployed Engineering, using embedded engineers, a global partner network, shared OKRs, rapid delivery, and direct collaboration with Databricks R&D to deliver production data and AI solutions.

## Takeaways

- FDE engagements combine data engineering, application development, and production deployment, with engineers working directly alongside customer teams.
- The JPMC engagement migrated five-plus petabytes of Consumer and Community Banking Risk data and more than 500 notebooks in four months, while training more than 600 users.
- Fox used Lakebase, AI Search, Databricks Apps, and Model Serving; users who engage with Sports AI spend approximately twice as much time in the app.

**Tags:** [AI](https://yomu.fyi/topic/ai), [Data Pipelines](https://yomu.fyi/topic/data-pipelines), [Lakehouse](https://yomu.fyi/topic/lakehouse), [Model Serving](https://yomu.fyi/topic/model-serving)

- Source: [Databricks](https://www.databricks.com/blog/forward-deployed-engineering-delivering-business-outcomes-ai)
- Source URL: https://www.databricks.com/blog/forward-deployed-engineering-delivering-business-outcomes-ai
- Ingested by Yomu: 2026-08-30T17:03:07.258Z

[Read original post](https://www.databricks.com/blog/forward-deployed-engineering-delivering-business-outcomes-ai)