# AI Forward Deployed Engineer - Sweden

**Company**: Databricks
**Location**: Stockholm
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8930381002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6b602f26-eef

## Description

We are seeking an AI Forward Deployed Engineer to join our team in Stockholm, Sweden.

The AI Forward Deployed Engineering (AI FDE) team at Databricks delivers professional services engagements to help customers build and productionize AI applications. As a member of this team, you will develop cutting-edge GenAI solutions, own production rollouts of consumer and internally facing GenAI applications, serve as a trusted technical advisor to customers, present at conferences, and collaborate cross-functionally with product and engineering teams.

Responsibilities:

- 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:

- Minimum 4 years' experience

- 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 optimisations

- 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)

Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

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## Skills

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

### Nice to have
- Databricks Intelligence Platform

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8930381002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)