# AI Engineer - FDE (Forward Deployed Engineer)

**Company**: Databricks
**Location**: United States
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $180,656-$248,360 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8335860002
**Canonical**: https://yubhub.co/jobs/job_c7431c7c-8d7

## Description

We are seeking an AI Engineer - FDE (Forward Deployed Engineer) to join our team. As a member of our highly specialized customer-facing AI team, you will deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. You will work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams.

The impact you will have:

- Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic 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.

## Skills

### Required
- GenAI
- HuggingFace
- LangChain
- DSPy
- pandas
- scikit-learn
- PyTorch
- AWS
- Azure
- GCP
- Apache Spark

### Nice to have
- Databricks Intelligence Platform