AI Forward Deployed Engineer

In this role you will develop and productionize GenAI solutions for customers, applying latest Databricks AI research. You’ll own customer deployments and act as a trusted technical adviser, shaping product direction through cross-functional collaboration. You’ll also share insights at industry events, contributing to a broader AI strategy. This position combines hands-on engineering with customer-facing impact in a fast-evolving GenAI space.

• Develop cutting-edge GenAI solutions leveraging current research
• Own production rollouts of GenAI applications for customers and internal use
• Serve as trusted technical advisor across domains and customer engagements
• Present at conferences and contribute to internal/external thought leadership
• Collaborate with product and engineering to influence priorities and roadmap

• Min 4 years experience in DS, ML, AI
• Experience building GenAI applications (RAG, multi-agent, Text2SQL, fine-tuning) with HuggingFace, LangChain, DSPy
• Expertise deploying production-grade GenAI applications with evaluation and optimizations
• Hands-on 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
• Experience communicating/teaching technical concepts to diverse audiences
• Willingness to travel 4–8 weeks per year
• Preferred: Databricks Intelligence Platform and Apache Spark experience

• collaboration
• effective communication/teaching of complex concepts
• lifelong learning and curiosity
• HuggingFace
• LangChain
• DSPy