Databricks: AI Forward Deployed Engineer - Sweden — Stockholm, Sweden
Databricks lists a AI Forward Deployed Engineer - Sweden opening in Stockholm, Sweden. The job description covers AWS, Azure, Google Cloud, Excel, machine learning, AI, compliance.
Recruitment overview
| Organisation | Databricks |
|---|---|
| Post / role | AI Forward Deployed Engineer - Sweden |
| Department | Professional Services Operations |
| Employment type | Not specified |
| Notification / job ID | 8813515002 |
| Job location | Stockholm, Sweden |
| Work arrangement | Not specified |
| Educational qualification | Degree / qualification: Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience |
| Experience required | No numeric experience requirement extracted; read the employer notice |
| Salary / stipend | See employer notice for pay details |
| Last date to apply | See official notice |
About Databricks
Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.
The position and its setting
Databricks lists AI Forward Deployed Engineer - Sweden in Stockholm, Sweden, under reference 8813515002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.
- Department: Professional Services Operations
- Employer listing date: 16 September 2026
Responsibilities and work described
- Development: 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
- Collaboration: cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap
Essential requirements and candidate background
- 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
- Willing to travel once every 4-8 weeks to see customers (as needed)
Preferred experience and additional strengths
- Mission
- The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks
- We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications
- We 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
- We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team
- This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly
- Reporting to: Senior Manager - AI FDE, EMEA
- [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets
Location, schedule and contract conditions
For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.
- Advertised location: Stockholm, Sweden
Benefits mentioned by the employer
- At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
- For specific details on the benefits offered in your region click here
Pay and application dates
A verified salary figure is not established in this article. An online estimate for another AI Forward Deployed Engineer - Sweden vacancy is not an offer for reference 8813515002; use the employer’s own pay disclosure and recruitment communication.
A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.
How to apply to Databricks
Applications follow the official employer page linked below.
Open the official Databricks posting below and match the title and reference 8813515002.
Compare your qualifications and experience with the essential conditions for the Stockholm, Sweden position, then read the preferred criteria separately.
Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.
Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.
Practical preparation: AWS
For AWS experience, describe the workload and the services you actually configured or operated. Useful detail includes deployment, access controls, monitoring, recovery or cost decisions where those were your responsibility.
Relevant skills
- Spark
- AWS
- GCP
- Azure
- AI/ML
- Google Cloud
- Excel
- machine learning
- AI
- compliance
Important links
| Official notification / job description | Open official page |
|---|
Read the complete official notice before applying. Availability and requirements can change.
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