AI Engineer - FDE (Forward Deployed Engineer)

Databricks
Austin, Dallas, Houston, Plano
Workplace: RemoteFull timeUSD 152,900 - 210,155 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Collaboration","Communication","Teaching","Life-long learning","Driving business value"]

Build and productionize GenAI and LLM applications for customer-facing engagements, using Databricks AI research and modern techniques like RAG, multi-agent systems, Text2SQL, and fine-tuning. Own production rollouts and drive evaluation and optimization of production-grade solutions. Serve as a trusted technical advisor, collaborate with product and engineering to shape priorities, and present thought leadership at major AI conferences. Travel to see customers as needed.

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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 productionize GenAI and LLM applications for customer-facing engagements, using Databricks AI research and modern techniques like RAG, multi-agent systems, Text2SQL, and fine-tuning. Own production rollouts and drive evaluation and optimization of production-grade solutions. Serve as a trusted technical advisor, collaborate with product and engineering to shape priorities, and present thought leadership at major AI conferences. Travel to see customers as needed.
Location: Austin, Dallas, Houston, Plano
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop cutting-edge GenAI solutions to solve customer problems using Databricks AI techniques.
  • •Own production rollouts of consumer and internally facing GenAI applications.
  • •Serve as a trusted technical advisor to customers across domains.
  • •Present at conferences as an internal and external thought leader.
  • •Collaborate with product and engineering teams to influence priorities and shape the roadmap.
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 (not internship/new grad/entry).
  • •Hands-on industry data science experience using tools such as pandas, scikit-learn, and PyTorch.
  • •Ability to build GenAI applications including RAG, multi-agent systems, Text2SQL, and fine-tuning, using tools such as HuggingFace, LangChain, and DSPy.
  • •Experience deploying production-grade GenAI applications, including evaluation and optimization.
  • •Graduate degree in a quantitative discipline or equivalent practical experience.
Experience:GenAILLMOpsMachine learning
Education:Master's
Skills:CollaborationCommunicationTeachingLife-long learningDriving business value
Languages:English
Tech Stack:GenAILLMOpsLLMRAGMulti-agent systemsText2SQLFine-tuningHuggingFaceLangChainDSPyPandasScikit-learnPyTorchAWSAzureGCPDatabricks 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