Sr. AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector

Databricks
Washington, Maryland, Virginia
Workplace: RemoteFull timeUSD 182,000 - 250,208 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Collaboration","Communication","Teaching","Life-long learning"]

Build and productionize first-of-its-kind GenAI applications for U.S. federal customers as part of the AI Forward Deployed Engineering team. Develop cutting-edge GenAI solutions (e.g., RAG, multi-agent systems, Text2SQL, fine-tuning), own production rollouts, and serve as a trusted technical advisor. Collaborate cross-functionally with engineering and product to influence priorities, and present technical thought leadership at major conferences.

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FursaFursa
Databricks
Databricks
2 days ago

Sr. AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Build and productionize first-of-its-kind GenAI applications for U.S. federal customers as part of the AI Forward Deployed Engineering team. Develop cutting-edge GenAI solutions (e.g., RAG, multi-agent systems, Text2SQL, fine-tuning), own production rollouts, and serve as a trusted technical advisor. Collaborate cross-functionally with engineering and product to influence priorities, and present technical thought leadership at major conferences.
Location: Washington, Maryland, Virginia
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop GenAI solutions incorporating 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 such as 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: Low travel

Pay and Benefits

Salary: USD 182,000 - 250,208 annually
Equity and Bonus:Equity

Key Requirements

  • •Build GenAI applications including RAG, multi-agent systems, Text2SQL, and fine-tuning using tools such as HuggingFace, LangChain, and DSPy.
  • •Deploy production-grade GenAI applications with evaluation and optimization expertise.
  • •Extensive hands-on industry experience in data science using tools like pandas, scikit-learn, and PyTorch.
  • •Build production-grade machine learning deployments on AWS, Azure, or GCP.
  • •Communicate and/or teach technical concepts to both non-technical and technical audiences.
Experience:GenAILLMOpsMachine learningData scienceAWSAzureGCP
Education:Master's
Skills:CollaborationCommunicationTeachingLife-long learning
Languages:English
Tech Stack:HuggingFaceLangChainDSPyRAGMulti-agent systemsText2SQLFine-tuningPandasScikit-learnPyTorchAWSAzureGCPDatabricks Intelligence PlatformApache Spark

Eligibility

Nationality:US National
Security Clearance:Secret

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