AI Engineer - FDE (Forward Deployed Engineer)

Databricks
Charlotte, Durham, Raleigh, California
Workplace: RemoteFull timeUSD 152,900 - 210,155 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Customer-facing collaboration","Communication","Teaching","Life-long learning","Driving business value"]

Build and deploy production GenAI applications for customers as part of the AI Forward Deployed Engineering team. Develop solutions using RAG, multi-agent systems, Text2SQL, and fine-tuning, and own rollout and evaluation/optimization of production models. Serve as a trusted technical advisor, collaborate with product and engineering to shape roadmap priorities, and present externally as a thought leader. Remote role with periodic travel to customer sites.

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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 applications for customers as part of the AI Forward Deployed Engineering team. Develop solutions using RAG, multi-agent systems, Text2SQL, and fine-tuning, and own rollout and evaluation/optimization of production models. Serve as a trusted technical advisor, collaborate with product and engineering to shape roadmap priorities, and present externally as a thought leader. Remote role with periodic travel to customer sites.
Location: Charlotte, Durham, Raleigh, California
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop cutting-edge GenAI solutions using techniques from 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 cross-functionally with product and engineering to influence priorities and shape the product roadmap.
  • •Present at conferences and be recognized as a thought leader internally and externally.
Travel: Medium travel

Pay and Benefits

Salary: USD 152,900 - 210,155 annually
Equity and Bonus:Equity

Key Requirements

  • •Experience designing, building, and deploying production GenAI and LLM applications at scale.
  • •Hands-on industry data science experience using common 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).
  • •Experience communicating/teaching technical concepts to non-technical and technical audiences.
Experience:GenAILLMOpsMachine learningRAGLLMs
Education:Master's
Skills:Customer-facing collaborationCommunicationTeachingLife-long learningDriving business value
Languages:English
Tech Stack:HuggingFaceLangChainDSPyPandasScikit-learnPyTorchAWSAzureGCPDatabricks Intelligence PlatformApache SparkGenAILLMOpsRAGMulti-agent systemsText2SQLFine-tuning

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