> Markdown version of [/jobs/ext/2012687-lead-databricks-forward-deployed-engineer-gps](https://www.wearedevelopers.com/jobs/ext/2012687-lead-databricks-forward-deployed-engineer-gps). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Lead Databricks Forward Deployed Engineer - GPS

- **Company:** Deloitte T.T.L.
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Encodings, Continuous Integration, Global Positioning Systems (GPS), Management of Software Versions, Data Logging, Google Cloud, Cloud Platform System, Large Language Models, Prompt Engineering, AI Platforms, Information Technology, Data Management, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/lead-databricks-forward-deployed-engineer-gps-atlanta-ga-usa-58886892

## About the Role

Lead FDE pods (2-5 engineers) and manage delivery health, feasibility, risks, and resource allocation * Enforce delivery standards (sprint cadences, communications, risk management, quality gates) across pods * Coordinate multi-pod engagements ensuring reliable architecture and consistent client experience * Architect and oversee GenAI solution delivery including copilots, agent workflows, and knowledge search * Guide prompt engineering, tool-use patterns, and human-in-the-loop controls * Govern end-to-end RAG pipeline design (ingestion, embedding, retrieval, hybrid search) for production-grade quality * Review production-quality code and contribute to data pipelines powering GenAI use cases * Enforce data management, testing, CI/CD, logging, versioning, and documentation practices * Deep familiarity with cloud environments (AWS, Azure, Google Cloud) Tasks * Bachelor's degree in Computer Science, Data Science or Engineering * 10+ years in software/data/analytics engineering roles * 6+ aaa
a building and deploying GenAI/LLM-powered solutions in client or production settings * 6+ years Databricks experience with Lakeflow Connect, Lakebase, Agent Bricks, Model Serving, Genie, or Databricks Apps * 6+ years leading project workstreams and translating business problems into AI solutions * 5+ years building reliable, maintainable code and CI/CD in Databricks * Ability to travel ~50% * Authorized to work in the United States without sponsorship * Professional Databricks certifications (required) Key requirements *

## Description

Experteer Overview In this role you lead forward-deployed engineering pods to design and deploy GenAI solutions for top clients, shaping technical direction and delivery. You'll be the senior engineering partner, balancing hands-on work with executive-level influence. The position blends onshore and offshore delivery to maximize speed and scale, with a strong focus on producing production-grade AI platforms and trusted client relationships. You join a mission-driven team transforming client operations through data, AI, and analytics. Compensation / Benefits * Serve as the senior client-facing engineering partner for product, data, and platform leadership * Lead discovery with executives, define success metrics, and plan prototyping to production scaling * Influence and align executive sponsors and IT/business owners around a shared AI-enabled vision * Represent Deloitte's FDE capability in client pursuits and platform partner engagements, contributing to pipeline and deal shaping * Lead FDE pods (2-5 engineers) and manage delivery health, feasibility, risks, and resource allocation * Enforce delivery standards (sprint cadences, communications, risk management, quality gates) across pods * Coordinate multi-pod engagements ensuring reliable architecture and consistent client experience * Architect and oversee GenAI solution delivery including copilots, agent workflows, and knowledge search * Guide prompt engineering, tool-use patterns, and human-in-the-loop controls * Govern end-to-end RAG pipeline design (ingestion, embedding, retrieval, hybrid search) for production-grade quality * Review production-quality code and contribute to data pipelines powering GenAI use cases * Enforce data management, testing, CI/CD, logging, versioning, and documentation practices * Deep familiarity with cloud environments (AWS, Azure, Google Cloud) Tasks * Bachelor's degree in Computer Science, Data Science or Engineering * 10+ years in software/data/analytics engineering roles * 6+ years building and deploying GenAI/LLM-powered solutions in client or production settings * 6+ years Databricks experience with Lakeflow Connect, Lakebase, Agent Bricks, Model Serving, Genie, or Databricks Apps * 6+ years leading project workstreams and translating business problems into AI solutions * 5+ years building reliable, maintainable code and CI/CD in Databricks * Ability to travel ~50% * Authorized to work in the United States without sponsorship * Professional Databricks certifications (required) Key requirements *


## Related Videos

- [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies)
- [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how)
- [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source)
- [A Brief History of Data Storage](https://www.wearedevelopers.com/videos/974-a-brief-history-of-data-storage)
- [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads)
- [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow)

## Related Articles

- [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)