AI Engineer - FDE (Forward Deployed Engineer)

Databricks
New York, California
Workplace: RemoteFull timeUSD 152,900 - 210,155 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Technical advising","Cross-functional collaboration","Communication","Teaching","Life-long learning"]

Build and deploy production GenAI and LLM applications for Databricks customers as part of the AI Forward Deployed Engineering team. Develop cutting-edge solutions (including RAG, multi-agent systems, Text2SQL, and fine-tuning), own production rollouts, and serve as a trusted technical advisor. Collaborate with product and engineering to influence priorities, and present learnings as an internal and external thought leader.

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Databricks
Databricks
4 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: 20 hours agoStatus: Closed

Job Summary

Build and deploy production GenAI and LLM applications for Databricks customers as part of the AI Forward Deployed Engineering team. Develop cutting-edge solutions (including RAG, multi-agent systems, Text2SQL, and fine-tuning), own production rollouts, and serve as a trusted technical advisor. Collaborate with product and engineering to influence priorities, and present learnings as an internal and external thought leader.
Location: New York, California
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

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

Pay and Benefits

Salary: USD 152,900 - 210,155 annually

Key Requirements

  • •Experience designing, building, and deploying production GenAI and LLM applications at scale (not internship, new graduate, or entry-level).
  • •Hands-on GenAI development with techniques such as RAG, multi-agent systems, Text2SQL, and fine-tuning using tools like HuggingFace, LangChain, and DSPy.
  • •Experience deploying production-grade GenAI systems, including evaluation and optimization.
  • •Extensive industry data science experience using tools such as pandas, scikit-learn, and PyTorch.
  • •Experience building production ML deployments on AWS, Azure, or GCP, plus a graduate degree in a quantitative discipline or equivalent experience.
Education:Master's
Skills:Technical advisingCross-functional collaborationCommunicationTeachingLife-long learning
Languages:English
Tech Stack:GenAILLMOpsRAGMulti-agent systemsText2SQLFine-tuningHuggingFaceLangChainDSPyPandasScikit-learnPyTorchAWSAzureGCPEvaluationApache 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