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

**Company**: Databricks
**Location**: Maryland; Virginia; Washington, D.C.
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $185,920-$255,640 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8546365002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a427390d-3ab

## Description

We are seeking an AI Engineer - FDE (Forward Deployed Engineer) to join our team in the U.S. Federal Sector. As an AI Engineer, you will develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems. You will own production rollouts of consumer and internally facing GenAI applications, serve as a trusted technical advisor to customers across a variety of domains, and 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. 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. Willing to travel once every 4-8 weeks to see customers (as needed).

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

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

This role can be remote. The pay range for this role is $185,920-$255,640 USD per year, depending on location and experience. Databricks offers a comprehensive benefits package, including annual performance bonus, equity, and paid time off.

## Skills

### Required
- GenAI
- HuggingFace
- LangChain
- DSPy
- pandas
- scikit-learn
- PyTorch
- AWS
- Azure
- GCP
- Data Science
- Machine Learning

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8546365002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)