Senior AI Engineer, AI FDE

• Develop cutting-edge GenAI solutions using the latest Databricks AI research to solve customer problems
• Own production rollouts of consumer-facing 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
• Collaborate cross-functionally with product and engineering teams to influence priorities and shape the product roadmap
• Support internal subject matter expert teams and strategic initiatives

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., using 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 using tools such as pandas, scikit-learn, and PyTorch
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences
• Willingness to travel once every 4-8 weeks to see customers as needed

• Comprehensive benefits and perks; specific details vary by region and are provided via the Databricks regional benefits document
• Remote work arrangement
• Opportunity to present at conferences such as Data + AI Summit
• Opportunity to be recognized as a thought leader internally and externally
• Opportunity to collaborate with product and engineering teams and influence priorities and product roadmap