# AI Engineer - FDE (Forward Deployed Engineer)

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Remote
**Role:** Solutions Architecture
**Salary:** $153k – $210k/yr
**Experience:** 7+ years
**Skills:** Generative AI, RAG, LangChain, Hugging Face, Dspy, PyTorch, pandas, scikit-learn, AWS, Azure, GCP, Spark, Llmops
**Posted:** 2026-07-15

> Forward Deployed AI Engineer building and productionizing customer GenAI applications (RAG, agents, fine-tuning) using Databricks platform. Serves as trusted advisor, influences product roadmap, and presents as thought leader. Requires strong production ML/GenAI experience plus graduate degree.

## Job Description

## Impact
- 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.

## Requirements
- 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 (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).

## Nice-to-Haves
- Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets.

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**Apply:** https://hotfix.jobs/jobs/3c532773-cfbf-4cec-b9b7-eafb87e98a71
**Canonical:** https://hotfix.jobs/jobs/3c532773-cfbf-4cec-b9b7-eafb87e98a71