AI Engineer - FDE (Forward Deployed Engineer)
Databricks2 months ago
Tokyo, JapanSenior
Responsibilities
- Develop generative AI solutions using current techniques from Databricks AI research to solve customer problems.
- Own production rollouts of consumer-facing and internally facing generative AI applications.
- Serve as a trusted technical advisor to customers across varied domains.
- Present at conferences such as Data + AI Summit and act as an internal and external thought leader.
- Collaborate with product and engineering teams to influence priorities and shape the product roadmap.
- Support internal subject matter expert teams and contribute to long-term strategic initiatives.
Requirements
- Experience building generative AI applications involving RAG, multi-agent systems, Text2SQL, fine-tuning, or similar techniques.
- Expertise deploying production-grade generative AI applications, including evaluation and optimization.
- Extensive hands-on industry data science experience using common machine learning and data science tools.
- 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 or teaching technical concepts to both technical and non-technical audiences.
- Preferred experience with the Databricks Intelligence Platform and Apache Spark for large-scale distributed data processing.
- Native-level fluency in Japanese and professional working proficiency in written and spoken English.
- Willingness to travel to customers once every 4–8 weeks as needed.
Benefits
- Comprehensive benefits and perks, with region-specific details available for Japan.
- Based in Tokyo, Japan.
- Travel to customers approximately once every 4–8 weeks as needed.
Tech Stack
Categories
Forward Deployed
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.