About the Role
The AI Forward Deployed Engineering (AI FDE) team at Databricks is a highly specialized, customer-facing AI team. They deliver professional services engagements to help customers build and productionize first-of-its-kind AI applications. The team works cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, and also supports internal subject matter expert (SME) teams. This role is suitable for individuals who enjoy working with customers and teammates, and are curious about the latest trends in GenAI, LLMOps, and ML.
The Impact You Will Have
- Develop cutting-edge GenAI solutions, incorporating the 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 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.
What We Look For
- 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.
- [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets.
- Willingness to travel once every 4-8 weeks to see customers (as needed).