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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Forward Deployed Engineer - GPS - **Company:** Deloitte T.T.L. - **Location:** Austin, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Continuous Integration, DevOps, Global Positioning Systems (GPS), Data Logging, Large Language Models, Information Technology, Production Code, Databricks - **Published:** August 10, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/databricks-forward-deployed-engineer-gps-austin-tx-usa-58886963 ## About the Role aaaaaz_ and align with senior team members * Contribute reusable assets like code, libraries, and reference implementations * Mentor newer team members within an FDE pod Tasks * Bachelor's degree in Computer Science, Data Science, Engineering, or related field * Active US government security clearance (Secret) * 4+ years in software/data/analytics engineering * 2+ years building and deploying GenAI/LLM-powered solutions * 2+ years Databricks experience including Lakeflow Connect, Agent Bricks, or Databricks Apps * 2+ years leading project workstreams and translating business problems to AI solutions * 2+ years building maintainable code and CI/CD DevOps in Databricks * Ability to travel ~50% Key requirements * ## Description Experteer Overview In this role you will co-create GenAI-enabled solutions with client teams, delivering working AI for tangible business impact. You will embed with clients, shape solutions, and produce production-grade code while mentoring others. The position sits in Deloitte's AI & Data offering within GPS, focusing on scalable, responsible AI deployments. You'll work across enterprise platforms to accelerate digital ventures and improve client outcomes. This is a fast-paced, collaborative role with a clear impact on client success. Compensation / Benefits * Embed with clients to identify needs and translate them into GenAI solutions * Partner with leaders to align priorities and delivery * Lead sessions to shape solutions and drive outcomes * Prototype and deliver AI solutions using industry knowledge * Develop scalable AI engineering patterns and human-in-the-loop controls * Deliver production-quality code with CI/CD, testing, logging, and documentation * Design extensible features and align with senior team members * Contribute reusable assets like code, libraries, and reference implementations * Mentor newer team members within an FDE pod Tasks * Bachelor's degree in Computer Science, Data Science, Engineering, or related field * Active US government security clearance (Secret) * 4+ years in software/data/analytics engineering * 2+ years building and deploying GenAI/LLM-powered solutions * 2+ years Databricks experience including Lakeflow Connect, Agent Bricks, or Databricks Apps * 2+ years leading project workstreams and translating business problems to AI solutions * 2+ years building maintainable code and CI/CD DevOps in Databricks * Ability to travel ~50% 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) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [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) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [WeAreDevelopers Dev Digest Issue 116 - The new search wars…](https://www.wearedevelopers.com/magazine/445-wearedevelopers-dev-digest-issue-116-the-new-search-wars)