Databricks Forward Deployed Engineer - GPS

Experteer Overview As a Databricks Forward Deployed Engineer, you help deliver GenAI-enabled solutions for government and public sector clients, embedding with client teams to shape high-value use cases. You’ll prototype, build production-grade AI solutions, and contribute to reusable assets while mentoring peers. You work closely with cross-functional stakeholders to drive measurable business impact from day one. This role combines hands-on engineering with strategic client engagement in a fast-paced, mission-driven environment. Compensation / Benefits * Embed with clients to identify business needs and translate GenAI use cases into solutions * Collaborate with leaders, product owners, architects, and engineers to align priorities * Lead sessions to shape solutions and drive client outcomes * Prototype and deliver working AI solutions with industry expertise * Mentor newer team members within an FDE pod * Build AI-enabled solutions and scalable engineering patterns across enterprise platforms * Deliver production-quality code with strong testing, CI/CD, logging, and documentation * Design extensible functionality and contribute reusable assets like code and runbooks Tasks * 4+ years of software, data engineering, data science, or analytics engineering * 2+ years building and deploying GenAI/LLM-powered solutions in client or production environments * 2+ years of hands-on Databricks experience including data engineering, data science, or analytics features (Lakeflow Connect, Agent Bricks, Databricks Apps) * 2+ years leading project workstreams and translating business problems into AI solutions * 2+ years of reliable, maintainable code and CI/CD DevOps in Databricks * Ability to travel ~50% * Authorized to work in the United States without sponsorship now or in the future * Ability to obtain and maintain US government security clearance Key requirements *

• platforms * Deliver production-quality code with strong testing, CI/CD, logging, and documentation * Design extensible functionality and contribute reusable assets like code and runbooks Tasks * 4+ years of software, data engineering, data science, or analytics engineering * 2+ years building and deploying GenAI/LLM-powered solutions in client or production environments * 2+ years of hands-on Databricks experience including data engineering, data science, or analytics features (Lakeflow Connect, Agent Bricks, Databricks Apps) * 2+ years leading project workstreams and translating business problems into AI solutions * 2+ years of reliable, maintainable code and CI/CD DevOps in Databricks * Ability to travel ~50% * Authorized to work in the United States without sponsorship now or in the future * Ability to obtain and maintain US government security clearance Key requirements *