AI Forward Deployed Engineer - Germany
Databricks1 day ago
Munich, GermanyMid Level
Responsibilities
- Develop GenAI solutions using current techniques from Databricks AI research 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 and act as an internal and external thought leader.
- Collaborate with product and engineering teams to influence priorities and shape the product roadmap.
- Communicate and teach technical concepts to both technical and non-technical audiences.
Requirements
- At least 4 years of experience.
- Experience building GenAI applications involving RAG, multi-agent systems, Text2SQL, fine-tuning, or similar techniques using tools such as HuggingFace, LangChain, and DSPy.
- Expertise deploying, evaluating, and optimizing production-grade GenAI applications.
- Extensive hands-on industry data science experience with 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.
- Preferred experience with the Databricks Intelligence Platform and Apache Spark.
- Willingness to travel to customers once every 4–8 weeks as needed.
- Strong communication, collaboration, lifelong learning, and business-value orientation.
Benefits
- Remote work is available for candidates based in Germany, with preferred locations near Munich, Berlin, or Frankfurt.
- Comprehensive regional benefits and perks are offered; specific details depend on the employee's region.
- Customer travel is expected 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.