Senior AI Engineer - FDE (Forward Deployed Engineer)
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop cutting-edge GenAI solutions for customer problems, own production rollouts of GenAI applications, act as a trusted technical advisor, present at conferences, and work with product and engineering to shape the roadmap. Customer travel every 4-8 weeks is expected.
Requirements
- Experience building GenAI applications including RAG, multi-agent systems, Text2SQL and fine-tuning with HuggingFace, LangChain and DSPy
- Expertise deploying production-grade GenAI applications including evaluation and optimization
- Extensive hands-on data science experience with pandas, scikit-learn, PyTorch
- Experience building production ML deployments on AWS, Azure or GCP
- Graduate degree in a quantitative discipline or equivalent practical experience
- Experience communicating technical concepts to technical and non-technical audiences
- Willing to travel once every 4-8 weeks
- Native-level Japanese and professional working proficiency in English
- Preferred: Databricks Intelligence Platform and Apache Spark experience
Responsibilities
- Develop GenAI solutions using the latest Databricks AI research
- Own production rollouts of consumer and internally facing GenAI applications
- Serve as trusted technical advisor to customers
- Present at conferences such as Data + AI Summit
- Collaborate with product and engineering teams to influence the roadmap