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Databricks · 1 day ago

AI Engineer - FDE (Forward Deployed Engineer) - Public Sector

Washington, VA

Full-time

Hybrid

Senior Level

$161K/yr - $226K/yr

Databricks is a leading data and AI company that delivers professional services to help customers build and deploy innovative AI applications. The AI Engineer will develop cutting-edge GenAI solutions, serve as a trusted technical advisor, and collaborate with cross-functional teams to shape product priorities and roadmaps.

AnalyticsArtificial Intelligence (AI)Data StorageInformation TechnologyMachine Learning

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems

Own production rollouts of consumer and internally facing GenAI applications

Serve as a trusted technical advisor to customers across a variety of domains

Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally

Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

Qualification

GenAI applicationsProduction-grade deploymentsData science toolsAWSAzureGCPGraduate degreeBusiness value through AIDatabricks Intelligence PlatformApache SparkCommunication skillsCollaborationLife-long learning

Required

Eligibility to work in the United States

Ability to obtain and maintain a U.S. Government security clearance at the Top Secret level or higher

U.S. citizenship

Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy

Expertise in deploying production-grade GenAI applications, including evaluation and optimizations

Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.)

Experience building production-grade machine learning deployments on AWS, Azure, or GCP

Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience

Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike

Passion for collaboration, life-long learning, and driving business value through AI