AI Engineer - FDE (Forward Deployed Engineer)

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

Build and deploy cutting-edge GenAI solutions for Databricks customers as part of a specialized Forward Deployed Engineering team. You’ll develop RAG, multi-agent, Text2SQL, and fine-tuning workflows; own production rollouts of consumer and internal GenAI applications; and serve as a trusted technical advisor. Collaborate with product and engineering to shape priorities and influence roadmap direction, and present at major industry conferences.

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Databricks
Databricks
2 weeks 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: 4 hours agoStatus: Closed
Reposted: similar role first listed 6 months ago

Job Summary

Build and deploy cutting-edge GenAI solutions for Databricks customers as part of a specialized Forward Deployed Engineering team. You’ll develop RAG, multi-agent, Text2SQL, and fine-tuning workflows; own production rollouts of consumer and internal GenAI applications; and serve as a trusted technical advisor. Collaborate with product and engineering to shape priorities and influence roadmap direction, and present at major industry conferences.
Location: Amsterdam
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop GenAI solutions using state-of-the-art techniques to solve customer problems.
  • •Own production rollouts of consumer and internally facing GenAI applications.
  • •Serve as a trusted technical advisor to customers across different domains.
  • •Present externally (e.g., at 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 ML deployments on AWS, Azure, or GCP.
  • •Graduate degree in a quantitative discipline or equivalent practical experience, plus the ability to communicate/teach technical concepts to technical and non-technical audiences.
Experience:GenAILLMOpsMachine learningData science
Education:Master's
Skills:CollaborationLife-long learningCommunicationTeachingCustomer focus
Languages:English
Tech Stack:HuggingFaceLangChainDSPyRAGMulti-agent systemsText2SQLFine-tuningAWSAzureGCPPandasScikit-learnPyTorchDatabricks 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