AI Engineer - FDE (Forward Deployed Engineer)

Databricks
United States
Workplace: RemoteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Communication","Collaboration","Presentation"]

Develop GenAI solutions and production deployments, serving as a trusted technical advisor to customers across domains. Present at conferences, influence product roadmaps, and collaborate with cross-functional teams to translate AI research into scalable customer outcomes.

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FursaFursa
Databricks
Databricks
4 months 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: 1 hour agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Develop GenAI solutions and production deployments, serving as a trusted technical advisor to customers across domains. Present at conferences, influence product roadmaps, and collaborate with cross-functional teams to translate AI research into scalable customer outcomes.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop cutting-edge GenAI solutions and production-grade applications for customers
  • •Own production rollouts of consumer and internally facing GenAI apps
  • •Serve as a trusted technical advisor to customers across domains
  • •Present at conferences (e.g., Data + AI Summit) and contribute as a thought leader
  • •Collaborate cross-functionally with product and engineering to influence priorities and the roadmap
Travel: Low travel

Key Requirements

  • •Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
  • •Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
  • •Extensive years of hands-on industry data science experience, leveraging common ML/data tools (e.g., pandas, scikit-learn, PyTorch)
  • •Experience building production-grade ML deployments on AWS, Azure, or GCP
  • •Graduate degree in a quantitative discipline or equivalent practical experience
Experience:GenaiAiData science
Education:Master's
Skills:CommunicationCollaborationPresentation
Languages:English
Tech Stack:HuggingFaceLangChainDSPyPandasScikit-learnPyTorchAWSAzureGCPDatabricksApache 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