AI Engineer - FDE (Forward Deployed Engineer)

Databricks
London
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Collaboration","Communication","Advising","Teaching","Life-long learning"]

Join the AI Forward Deployed Engineering team to deliver customer-facing GenAI solutions from prototype to production. You’ll develop cutting-edge capabilities (e.g., RAG, multi-agent systems, Text2SQL, fine-tuning), run production rollouts, and act as a trusted technical advisor across domains. Collaborate with product and engineering to shape priorities, represent Databricks at major conferences, and travel to see customers as needed.

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FursaFursa
Databricks
Databricks
2 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: 2 hours agoStatus: Live
Reposted: similar role first listed 9 months ago

Job Summary

Join the AI Forward Deployed Engineering team to deliver customer-facing GenAI solutions from prototype to production. You’ll develop cutting-edge capabilities (e.g., RAG, multi-agent systems, Text2SQL, fine-tuning), run production rollouts, and act as a trusted technical advisor across domains. Collaborate with product and engineering to shape priorities, represent Databricks at major conferences, and travel to see customers as needed.
Location: London
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.
  • •Collaborate with product and engineering teams to influence priorities and shape the product roadmap.
  • •Present at conferences (e.g., Data + AI Summit) as an internal and external thought leader.
Travel: Low travel

Key Requirements

  • •Experience building GenAI applications including RAG, multi-agent systems, Text2SQL, and fine-tuning using tools such as HuggingFace, LangChain, and DSPy.
  • •Expertise deploying 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 machine learning deployments on AWS, Azure, or GCP.
  • •Graduate degree in a quantitative discipline (or equivalent practical experience) and the ability to communicate technical concepts to both non-technical and technical audiences.
Experience:GenAILLMOpsMachine learningCloud deployments
Skills:CollaborationCommunicationAdvisingTeachingLife-long learning
Languages:English
Tech Stack:GenAILLMOpsRAGMulti-agent systemsText2SQLFine-tuningHuggingFaceLangChainDSPyPandasScikit-learnPyTorchAWSAzureGCPApache SparkDatabricks Intelligence Platform

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