About the Role

Databricks seeks an AI Forward Deployed Engineer to develop cutting-edge GenAI solutions and own production rollouts for customers. This customer-facing role involves serving as a trusted technical advisor and collaborating cross-functionally to shape product strategy. The ideal candidate has experience building GenAI applications with tools like HuggingFace, LangChain, and PyTorch, and deploying them on cloud platforms.

Responsibilities

Develop cutting-edge GenAI solutions incorporating latest techniques from Databricks 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 various domains
Present at conferences and collaborate cross-functionally with product and engineering teams

Requirements

Experience building GenAI applications including RAG, multi-agent systems, Text2SQL, fine-tuning with tools such as HuggingFace, LangChain, and DSPy
Expertise in deploying production-grade GenAI applications including evaluation and optimizations
Extensive hands-on industry data science experience with pandas, scikit-learn, PyTorch
Experience building production-grade ML deployments on AWS, Azure, or GCP
Graduate degree in a quantitative discipline or equivalent practical experience

Databricks

San Francisco · US · 15627+ employees

Databricks is the Data and AI company that created the Lakehouse architecture, providing a unified platform for data engineering, SQL analytics, machine learning, and AI on open data formats. It was founded by the creators of Apache Spark.