AI Engineer

Summary

Join the AI Forward Deployed Engineering (AI FDE) team at Databricks, a specialized customer-facing team delivering professional services engagements to build and productionize AI applications. Collaborate cross-functionally with engineering, product, and developer relations teams. This role involves developing cutting-edge GenAI solutions, owning production rollouts of GenAI applications, serving as a trusted technical advisor to customers, and presenting at conferences. The ideal candidate will have experience building GenAI applications using tools like HuggingFace, LangChain, and DSPy, and a minimum of 5 years of relevant experience as a Data Scientist, preferably in a consulting role. This remote position requires expertise in deploying production-grade GenAI applications and experience with machine learning deployments on cloud platforms.

Requirements

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Minimum of 5+ years of relevant experience as a Data Scientist preferably working in a consulting role
• 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

Responsibilities

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic 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

Preferred Qualifications

Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets