AI Engineer - FDE (Forward Deployed Engineer)

Databricks
Bellevue, Seattle, California
Workplace: RemoteFull timeUSD 152,900 - 210,155 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Communication","Teaching","Collaboration","Life-long learning"]

Build and productionize customer-facing GenAI solutions as part of the AI Forward Deployed Engineering team. Own rollouts of consumer and internal GenAI applications, serve as a trusted technical advisor, and influence product and engineering priorities. Apply techniques like RAG, multi-agent systems, Text2SQL, and fine-tuning, and deploy production-grade models with evaluation and optimization. Represent Databricks through conference presentations and cross-functional collaboration.

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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 customer-facing GenAI solutions as part of the AI Forward Deployed Engineering team. Own rollouts of consumer and internal GenAI applications, serve as a trusted technical advisor, and influence product and engineering priorities. Apply techniques like RAG, multi-agent systems, Text2SQL, and fine-tuning, and deploy production-grade models with evaluation and optimization. Represent Databricks through conference presentations and cross-functional collaboration.
Location: Bellevue, Seattle, 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 AI research to solve customer problems.
  • •Own production rollouts of consumer and internally facing GenAI applications.
  • •Advise customers as a trusted technical advisor across multiple domains.
  • •Collaborate with product and engineering teams to influence priorities and shape the product roadmap.
  • •Present at conferences and represent the team as an internal and external thought leader.
Travel: Low 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 (e.g., RAG, multi-agent systems, Text2SQL, fine-tuning) using tools such as HuggingFace, LangChain, and DSPy.
  • •Expertise deploying production-grade GenAI applications, including evaluation and optimization.
  • •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.
  • •A graduate degree in a quantitative discipline (or equivalent practical experience) and the ability to communicate/teach technical concepts to technical and non-technical audiences.
Experience:GenAILLMOpsMachine learningData scienceRAGLLMsCloud deployments
Education:Master's
Skills:CommunicationTeachingCollaborationLife-long learning
Tech Stack:HuggingFaceLangChainDSPyRAGMulti-agent systemsText2SQLFine-tuningPandasScikit-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