AI Engineer - FDE (Forward Deployed Engineer)

Databricks
Chicago, California
Workplace: RemoteFull timeUSD 152,900 - 210,155 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Collaboration","Communication","Teaching technical concepts","Life-long learning","Driving business value"]

Work with the AI Forward Deployed Engineering team to deliver customer-facing GenAI solutions end-to-end. Build production rollouts of consumer and internal GenAI applications, serve as a technical advisor across domains, and collaborate with product and engineering to shape priorities. You’ll develop systems using techniques like RAG, multi-agent workflows, Text2SQL, and fine-tuning, deploying with strong evaluation and optimization practices using modern ML and cloud tooling.

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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

Work with the AI Forward Deployed Engineering team to deliver customer-facing GenAI solutions end-to-end. Build production rollouts of consumer and internal GenAI applications, serve as a technical advisor across domains, and collaborate with product and engineering to shape priorities. You’ll develop systems using techniques like RAG, multi-agent workflows, Text2SQL, and fine-tuning, deploying with strong evaluation and optimization practices using modern ML and cloud tooling.
Location: Chicago, 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 techniques to solve customer problems.
  • •Own production rollouts of consumer and internally facing GenAI applications.
  • •Act as a trusted technical advisor to customers across diverse domains.
  • •Present at conferences (e.g., Data + AI Summit) as an internal and external thought leader.
  • •Collaborate cross-functionally with product and engineering to influence priorities and shape the product 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.
  • •Experience building GenAI applications (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 common ML/data science tools (e.g., pandas, scikit-learn, PyTorch).
  • •Graduate degree in a quantitative discipline (or equivalent practical experience).
Experience:GenAILLMOpsMachine learningData scienceProduction deployments
Education:Master's
Skills:CollaborationCommunicationTeaching technical conceptsLife-long learningDriving business value
Languages:English
Tech Stack:HuggingFaceLangChainDSPyPandasScikit-learnPyTorchAWSAzureGCPApache 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