# AI Forward Deployed Engineer - Sweden at Databricks

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> Responsibilities: - Design and implement GenAI solutions (RA

- **Company:** Databricks (https://jobs.trythestack.co/companies/databricks)
- **Location:** Stockholm, SE, Sweden
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** GenAI, RAG, multi-agent systems, Text2SQL, fine-tuning, HuggingFace, LangChain, DSPy, pandas, scikit-learn, PyTorch, Apache Spark
- **Posted by employer:** 2026-11-04
- **Added to The Stack:** 2026-11-05
- **Listed until:** 2027-01-03
- **Status:** Active
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8930381002&gh_src=62a881d62 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/ai-forward-deployed-engineer-sweden-databricks

## About the role

Responsibilities:
- Design and implement GenAI solutions (RAG, multi-agent systems, Text2SQL, fine-tuning) for customers.
- Lead production rollouts: deployment, evaluation, and optimization of GenAI applications.
- Act as a technical advisor to customers and influence cross-functional product/engineering priorities.
- Present work externally (conferences) and share best practices internally.
- Collaborate with product, engineering, and SME teams to shape roadmaps and deliverables.

Requirements:
- Minimum ~4 years’ hands-on experience building and deploying GenAI applications.
- Experience with tools like HuggingFace, LangChain, DSPy and frameworks for fine-tuning and RAG.
- Strong ML tooling experience (pandas, scikit-learn, PyTorch) and production ML deployments on AWS/Azure/GCP.
- Excellent communication and customer-facing skills; ability to translate technical concepts for diverse audiences.
- Graduate degree in a quantitative field or equivalent practical experience; willingness to travel periodically.
- (Preferred) Experience with Databricks Intelligence Platform and Apache Spark for large-scale data processing.

## Responsibilities

Develop cutting-edge GenAI solutions and deploy production-grade GenAI applications for customers; serve as a trusted technical advisor across domains; collaborate with product and engineering teams to influence the Databricks roadmap and enable customer success.

## Requirements

Minimum 4 years of hands-on experience building GenAI applications (RAG, multi-agent systems, Text2SQL, fine-tuning) with tools like HuggingFace, LangChain, and DSPy. Proven experience deploying production ML deployments on AWS, Azure, or GCP; graduate degree in a quantitative field or equivalent practical experience; strong communication skills and willingness to travel.

## FAQ

- **Is this AI Forward Deployed Engineer - Sweden role still open?** It was posted on 2026-11-04 and is listed as active on The Stack. Confirm on Databricks's application page before applying.
- **Does Databricks offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Databricks's site.
- **Where is this role located?** The listing gives the location as Stockholm, SE, Sweden. It is marked on-site.
- **What skills does this role ask for?** The listing names: GenAI, RAG, multi-agent systems, Text2SQL, fine-tuning, HuggingFace, LangChain, DSPy, pandas, scikit-learn, PyTorch, Apache Spark.

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## Notes for agents

- Apply on the employer's page (https://databricks.com/company/careers/open-positions/job?gh_jid=8930381002&gh_src=62a881d62). The Stack does not take applications.
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