AI Engineer - FDE (Forward Deployed Engineer)

Databricks
Stockholm, Amsterdam
Workplace: RemoteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Collaboration","Communication","Teaching","Life-long learning","Curiosity"]

Build and deploy first-of-its-kind GenAI solutions for customers as part of the AI Forward Deployed Engineering team. Own production rollouts of consumer and internal GenAI applications, serve as a trusted technical advisor, and collaborate with product and engineering to shape priorities. Develop systems using RAG, multi-agent approaches, Text2SQL, and fine-tuning, with production ML expertise across AWS/Azure/GCP and evaluation/optimization for reliable deployments.

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FursaFursa
Databricks
Databricks
2 days ago

AI Engineer - FDE (Forward Deployed Engineer)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Build and deploy first-of-its-kind GenAI solutions for customers as part of the AI Forward Deployed Engineering team. Own production rollouts of consumer and internal GenAI applications, serve as a trusted technical advisor, and collaborate with product and engineering to shape priorities. Develop systems using RAG, multi-agent approaches, Text2SQL, and fine-tuning, with production ML expertise across AWS/Azure/GCP and evaluation/optimization for reliable deployments.
Location: Stockholm, Amsterdam
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop cutting-edge GenAI solutions using techniques from Databricks AI research to solve customer problems.
  • •Own production rollouts of consumer and internally facing GenAI applications.
  • •Serve as a trusted technical advisor to customers across a variety of domains.
  • •Present at conferences (e.g., Data + AI Summit) as an internal and external thought leader.
  • •Collaborate cross-functionally with product and engineering to influence priorities and shape the product roadmap.
Travel: Medium travel

Key Requirements

  • •Experience building GenAI applications (e.g., RAG, multi-agent systems, Text2SQL, fine-tuning) 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 like pandas, scikit-learn, and PyTorch.
  • •Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
  • •Graduate degree in a quantitative discipline (or equivalent practical experience).
Experience:GenAILLMOpsMachine learningData scienceCloud
Education:Master's in quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.)
Skills:CollaborationCommunicationTeachingLife-long learningCuriosity
Languages:En
Tech Stack:HuggingFaceLangChainDSPyPandasScikit-learnPyTorchAWSAzureGCPApache SparkDatabricks Intelligence PlatformGenAILLMOpsRAGMulti-agent systemsText2SQLFine-tuning

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn