AI Engineer - FDE (Forward Deployed Engineer)
Databricksabout 3 hours ago
Responsibilities
- Develop cutting-edge GenAI solutions using current Databricks AI research techniques to solve customer problems.
- Own production rollouts of consumer-facing and internally facing GenAI 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 strategic priorities and initiatives.
Requirements
- Experience building GenAI applications using techniques such as RAG, multi-agent systems, Text2SQL, and fine-tuning, with tools including HuggingFace, LangChain, and DSPy.
- Expertise deploying production-grade GenAI applications, including evaluation and optimization.
- 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 or teaching technical concepts to both technical and non-technical audiences.
- Preferred experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets.
- Willingness to travel to see customers approximately once every 4–8 weeks as needed.
Benefits
- Remote applicants are welcome if located near Databricks offices, with Amsterdam, Netherlands preferred.
- Travel to customer sites is expected approximately once every 4–8 weeks as needed.
- Comprehensive regional benefits and perks are offered.
Tech Stack
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).