Skip to main content

Databricks

AI Engineer - FDE (Forward Deployed Engineer)

McLean, Virginia; Reston, Virginia; Richmond, Virginia; Washington, D.C.From $210.2kfull-timemidAdded today

About this role

Databricks seeks an experienced AI Engineer to join their Forward Deployed Engineering team, delivering production-grade GenAI solutions to enterprise customers. You'll architect and deploy cutting-edge LLM applications, advise customers on AI strategy, and collaborate with product teams to shape the platform roadmap.

What you'll do

  • Design and develop production GenAI applications including RAG, multi-agent systems, and fine-tuning solutions for customer engagements
  • Lead end-to-end deployment and optimization of enterprise-scale AI applications with focus on evaluation and performance
  • Serve as technical advisor to customers across diverse domains, translating business needs into AI solutions
  • Collaborate cross-functionally with product and engineering teams to influence roadmap priorities
  • Present thought leadership at industry conferences and represent Databricks as an AI subject matter expert
  • Travel quarterly to customer sites for hands-on engagement and technical support

What they're looking for

  • GenAI application development (RAG, multi-agent systems, Text2SQL, fine-tuning)
  • Machine learning frameworks (PyTorch, scikit-learn, HuggingFace, LangChain, DSPy)
  • Production ML deployment on AWS, Azure, or GCP
  • Apache Spark and distributed data processing
  • Data manipulation and analysis (pandas, SQL)
  • Technical communication to both technical and non-technical audiences
  • Databricks Intelligence Platform
  • LLMOps and model evaluation techniques
Apply on the employer's site

Opens the official application on the employer’s site. No login required.

Databricks

Databricks builds a unified data and AI platform that combines database systems, distributed computing, and generative AI capabilities across multi-cloud infrastructure. The company is hiring software engineers, applied AI engineers, and web engineers to develop core database engines, ML/AI features, inference systems, and user-facing products.

Website
databricks.com
View all jobs at Databricks

Likely interview questions

  • Walk us through a production GenAI application you built from design to deployment—what were the biggest challenges and how did you optimize for performance?
  • How have you approached evaluation and monitoring of LLM applications in production, and what metrics did you prioritize?
Unlock all 7 questions free — and practice them live →