AI Engineer - FDE (Forward Deployed Engineer)

Databricks
Amsterdam, United Kingdom
Workplace: RemoteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Collaboration","Life-long learning","Technical advisory","Customer communication","Driving business value"]

Build and deploy cutting-edge GenAI solutions for customer engagements as part of Databricks’ AI Forward Deployed Engineering team. Own production rollouts of consumer and internal GenAI applications, and act as a trusted technical advisor across domains. Collaborate with product and engineering teams to shape priorities, influence the roadmap, and present thought leadership at major conferences. The role emphasizes RAG, multi-agent systems, Text2SQL, fine-tuning, and production evaluation/optimization.

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FursaFursa
Databricks
Databricks
2 days ago

AI Engineer - FDE (Forward Deployed Engineer)

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

Job Summary

Build and deploy cutting-edge GenAI solutions for customer engagements as part of Databricks’ AI Forward Deployed Engineering team. Own production rollouts of consumer and internal GenAI applications, and act as a trusted technical advisor across domains. Collaborate with product and engineering teams to shape priorities, influence the roadmap, and present thought leadership at major conferences. The role emphasizes RAG, multi-agent systems, Text2SQL, fine-tuning, and production evaluation/optimization.
Location: Amsterdam, United Kingdom
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop cutting-edge GenAI solutions using 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 teams to influence priorities and shape the product roadmap.
Travel: Medium travel

Key Requirements

  • •Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning, using tools such as HuggingFace, LangChain, and DSPy.
  • •Proven ability to deploy production-grade GenAI applications, including evaluation and optimizations.
  • •Extensive hands-on industry data science experience using tools such as pandas, scikit-learn, and PyTorch.
  • •Experience building production-grade ML deployments on AWS, Azure, or GCP.
  • •Graduate degree in a quantitative discipline (or equivalent practical experience) and ability to communicate/teach technical concepts to technical and non-technical audiences.
Experience:GenAILLMOpsMachine learningData scienceCloudProduction deployments
Education:Master's
Skills:CollaborationLife-long learningTechnical advisoryCustomer communicationDriving business value
Languages:English
Tech Stack:GenAIRAGMulti-agent systemsText2SQLFine-tuningHuggingFaceLangChainDSPyPandasScikit-learnPyTorchAWSAzureGCPDatabricks Intelligence PlatformApache Spark

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