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AI Engineer - FDE (Forward Deployed Engineer)

Summary by AIEngineer.careers

AI Engineer - FDE (Forward Deployed Engineer) is a Forward Deployed AI Engineer role (full-time). with Databricks. in REMOTE, DENVER, US. Compensation shown: $153K–$210K. Imported listing (source: genai.jobs). Apply on the employer's site (genai.jobs).

Imported listing (source: genai.jobs) · Apply on genai.jobs

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REMOTE · DENVER · US
$153K–$210K
Full-time
SENIOR
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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from genai.jobs

Databricks is hiring a Forward Deployed AI Engineer to join its AI FDE team, delivering professional services engagements that help customers build and productionize first-of-its-kind GenAI and LLM applications. The role combines deep hands-on engineering with customer-facing technical advisory work, shaping product priorities alongside engineering and product teams. Open to remote locations, with occasional travel to customer sites.

Responsibilities

  • Develop cutting-edge GenAI solutions using the latest Databricks AI research techniques
  • Own production rollouts of consumer and internally facing GenAI applications
  • Serve as a trusted technical advisor to customers across domains
  • Present at conferences such as Data + AI Summit as a thought leader
  • Collaborate cross-functionally with product and engineering to shape the roadmap

Requirements

  • Experience building GenAI applications including RAG, multi-agent systems, Text2SQL, and fine-tuning with tools such as HuggingFace, LangChain, and DSPy
  • Expertise deploying production-grade GenAI applications, including evaluation and optimization
  • Extensive hands-on industry data science experience with pandas, scikit-learn, PyTorch, and similar tools
  • Experience building production-grade ML deployments on AWS, Azure, or GCP
  • Graduate degree in a quantitative discipline or equivalent practical experience
  • Strong communication skills for technical and non-technical audiences
  • Willingness to travel once every 4-8 weeks to customer sites

Nice to Have

  • Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets

Tech Stack

Apache SparkAWSAzureDsPYFine-tuningGCPHuggingFaceLangChainLLMOpsMulti-agent SystemsPandasPyTorchRAGScikit-learnText2SQL
Databricks

Databricks

San Francisco · US · 17116+ employees

Databricks is the data and AI company offering a unified platform for building, scaling, and governing data and AI applications. It is based on an open lakehouse architecture.

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