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

Databricks
United States
Workplace: RemoteFull timeUSD 182,000 - 250,208 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Collaboration","Life-long learning","Communicating technical concepts","Teaching","Driving business value"]

Build and deploy cutting-edge GenAI solutions for U.S. federal sector customers as part of Databricks’ AI Forward Deployed Engineering team. You’ll own production rollouts and serve as a trusted technical advisor, collaborating with product and engineering to shape priorities and the roadmap. The role involves evaluating and optimizing GenAI/ML applications (including RAG, multi-agent systems, Text2SQL, and fine-tuning) and presenting insights publicly as a thought leader.

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FursaFursa
Databricks
Databricks
2 days ago

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

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build and deploy cutting-edge GenAI solutions for U.S. federal sector customers as part of Databricks’ AI Forward Deployed Engineering team. You’ll own production rollouts and serve as a trusted technical advisor, collaborating with product and engineering to shape priorities and the roadmap. The role involves evaluating and optimizing GenAI/ML applications (including RAG, multi-agent systems, Text2SQL, and fine-tuning) and presenting insights publicly as a thought leader.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop GenAI solutions using Databricks AI research techniques to solve customer problems.
  • •Own production rollouts of consumer and internally facing GenAI applications.
  • •Advise customers across domains on GenAI technical solutions.
  • •Collaborate with product and engineering teams to influence priorities and help shape the product roadmap.
  • •Present publicly at conferences and serve as a thought leader internally and externally.
Travel: Low travel

Pay and Benefits

Salary: USD 182,000 - 250,208 annually

Key Requirements

  • •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 optimizations.
  • •Extensive hands-on industry data science experience using common ML/data science tools such as pandas, scikit-learn, and PyTorch.
  • •Experience building production-grade ML deployments on AWS, Azure, or GCP.
  • •Graduate degree in a quantitative discipline (or equivalent practical experience).
Experience:GenAILLMOpsMachine learningData science
Education:Master's in quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research)
Skills:CollaborationLife-long learningCommunicating technical conceptsTeachingDriving business value
Languages:English
Tech Stack:HuggingFaceLangChainDSPyRAGText2SQLMulti-agent systemsFine-tuningPandasScikit-learnPyTorchAWSAzureGCPDatabricks Intelligence PlatformApache SparkGenAILLMOpsEvaluationOptimizationsApache 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