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

**Company**: Databricks
**Location**: Virginia
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $182,000-$250,208 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8760167002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_083cdf08-ac4

## Description

We are seeking a Senior AI Engineer - FDE (Forward Deployed Engineer) to join our team in the U.S. Federal Sector. As a member of the AI Forward Deployed Engineering (AI FDE) team at Databricks, you will deliver professional services engagements to help customers build and productionize first-of-its-kind AI applications.

The impact you will have:

- Develop cutting-edge GenAI solutions, incorporating the latest techniques from 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, recognized as a thought leader internally and externally

- Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

What we look for:

- Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy

- Expertise in deploying production-grade GenAI applications, including evaluation and optimizations

- Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.

- Experience building production-grade machine learning deployments on AWS, Azure, or GCP

- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience

- Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike

- Passion for collaboration, life-long learning, and driving business value through AI

- [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets

- Willing to travel once every 4-8 weeks to see customers (as needed)

Pay Range Transparency: The pay range for this role is $182,000-$250,208 USD.

## Skills

### Required
- GenAI
- machine learning
- data science
- HuggingFace
- LangChain
- DSPy
- pandas
- scikit-learn
- PyTorch
- AWS
- Azure
- GCP

### Nice to have
- Databricks Intelligence Platform
- Apache Spark

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8760167002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)