◆ 6/10
aitechOtheroffice
About this role
Join Databricks as an AI Forward Deployed Engineer in Stockholm, Sweden, to develop cutting-edge GenAI solutions and collaborate with cross-functional teams to shape product roadmaps.
Description
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
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
- 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).
Conditions & Benefits
- Comprehensive benefits and perks that meet the needs of all employees.
- Commitment to fostering a diverse and inclusive culture.
Job Details
Market range (est.)$90k–$180k
LocationOffice
AI Score★★★★★★☆☆☆☆ 6/10
PostedSep 17, 2026 (3d ago)
Tags & Skills
aitechOtheroffice
Tech Stack
GenAILLMOpsmachine learningdata scienceHuggingFaceLangChainDSPypandasscikit-learnPyTorchAWSAzureGCPApache Spark