AI Forward Deployed Engineer - Sweden at Databricks
At a glance
- Company
- Databricks
- Location
- Stockholm, SE, Sweden
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Databricks job
- 🏢 Databricks has 3 jobs here, 3 with visa sponsorship see all
Updated 2026-11-05, from our data and official sources.
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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.
Key skills
- GenAI — in 10 other listings on The Stack
- RAG — in 41 other listings on The Stack
- multi-agent systems — in 4 other listings on The Stack
- Text2SQL — not in any other listing on The Stack
- fine-tuning — in 8 other listings on The Stack
- HuggingFace — in 4 other listings on The Stack
- LangChain — in 19 other listings on The Stack
- DSPy — not in any other listing on The Stack
- pandas
- scikit-learn
- PyTorch
- Apache Spark
On The Stack (as of 2026-11-05)
Frequently asked questions about Databricks
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.