AI Engineer - FDE (Forward Deployed Engineer)

Databricks
Los Angeles, Mountain View, Sacramento, San Diego, San Francisco
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 engagements 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 advise customers across domains. Evaluate and optimize production-grade GenAI deployments using modern ML and data science tooling, with cloud infrastructure on AWS, Azure, or GCP, and collaborate to shape product priorities.

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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 engagements 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 advise customers across domains. Evaluate and optimize production-grade GenAI deployments using modern ML and data science tooling, with cloud infrastructure on AWS, Azure, or GCP, and collaborate to shape product priorities.
Location: Los Angeles, Mountain View, Sacramento, San Diego, San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop cutting-edge GenAI solutions based on 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.
  • •Present at conferences and act as a thought leader internally and externally.
  • •Collaborate cross-functionally with product and engineering to influence priorities and shape the product roadmap.
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.
  • •Experience building GenAI applications such as RAG, multi-agent systems, Text2SQL, and fine-tuning using tools like 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.
  • •Graduate degree in a quantitative discipline or equivalent practical experience.
Experience:GenAILLMOpsMachine learningData scienceProduction ML
Education:Master's
Skills:CollaborationCommunicationTeachingLife-long learningDriving business value
Tech Stack:HuggingFaceLangChainDSPyPandasScikit-learnPyTorchAWSAzureGCPApache SparkDatabricks Intelligence PlatformRAGMulti-agent systemsText2SQLFine-tuningLLM

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