About this role
About the Role The AI Forward Deployed Engineering (AI FDE) team at Databricks is a highly specialized customer-facing group that delivers professional services to help customers build and productionize first-of-its-kind AI applications. We collaborate with engineering, product, and developer relations, and support internal SMEs. We seek individuals with unique specializations who love working with customers and staying curious about GenAI, LLMOps, and ML. This role is open to remote locations across the United States. What You'll Do
- 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're Looking 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 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.
- Willing to travel once every 4-8 weeks to see customers (as needed). Nice to Have
- Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets. Compensation & Benefits
- Databricks indicates pay range transparency; no specific salary numbers are disclosed in the posting.