Databricks Forward Deployed Engineer - GPS

About the role

The Deloitte AI & Engineering team transforms technology platforms, drives innovation, and makes a significant impact on clients' success. As a Databricks Forward Deployed Engineer (FDE), you will work closely with clients to rapidly prototype and deliver high-impact GenAI-enabled solutions.

Responsibilities

• Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
• Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
• Lead working sessions to shape solutions and drive client outcomes.
• Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
• Contribute independently within an FDE pod while mentoring newer team members.
• Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
• Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
• Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
• Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
• Design extensible functionality, support sprint sizing, and align solutions with senior team members.
• Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

Qualifications

• Bachelor's degree (or equivalent) in Computer Science, Data Science, Engineering, or related field.
• Active US government security clearance (minimum Secret level).
• 4+ years of experience in software engineering, data engineering, data science, or analytics engineering.
• 2+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
• 2+ years of experience with Databricks including hands-on experience with one of the following key platform technologies: Databricks features for data engineering, data science, and analytics including Lakeflow Connect, Agent Bricks, and Databricks Apps.
• 2+ years of experience leading project workstreams/engagements and translating business problems into AI solutions.
• 2+ years of experience building reliable, maintainable, and well-documented code and CI/CD DevOps in Databricks.
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.