AI Forward Deployed Engineer - Sweden
Databricks1 day ago
Stockholm, SwedenMid 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 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.
Requirements
- At least 4 years of experience.
- Experience building GenAI applications involving RAG, multi-agent systems, Text2SQL, fine-tuning, or similar approaches using tools such as 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 technical and non-technical audiences.
- Preferred: experience with the Databricks Intelligence Platform and Apache Spark for large-scale distributed datasets.
- Willingness to travel to customers once every 4–8 weeks as needed.
Benefits
- Remote applicants must be located in Sweden, with Stockholm preferred; the role is not remote from other countries.
- Databricks offers comprehensive benefits and perks, with region-specific details available through the company benefits information.
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.