AI Forward Deployed Engineer - Sweden
About this role
Organizations struggle to transition advanced generative intelligence concepts into reliable, production-grade applications for real-world users. Databricks addresses this challenge through the AI Forward Deployed Engineering team, a specialized, customer-facing unit delivering professional services engagements in Stockholm, Sweden.
Team members act as trusted technical advisors, collaborating cross-functionally with product, engineering, and developer relations while partnering directly with external clients. Professionals joining this group build first-of-its-kind applications, own production rollouts, and influence future product roadmaps.
Ideal candidates bring substantial industry experience in machine learning and data science, alongside a desire to engage directly with clients. Individuals who thrive here possess deep technical knowledge in generative models and enjoy sharing expertise across both technical and non-technical audiences.
What you will do
- Develop advanced generative AI solutions by incorporating techniques derived from company research to address client challenges.
- Manage the complete production rollout lifecycle for consumer-facing and internal generative AI applications.
- Act as a trusted technical advisor to clients operating across diverse industry domains.
- Represent the organization as a thought leader by presenting at major industry conferences such as the Data + AI Summit.
- Partner cross-functionally with product and engineering groups to influence company priorities and shape the product roadmap.
What you need
- Demonstrated experience building generative AI applications involving retrieval-augmented generation, multi-agent systems, text-to-SQL workflows, and model fine-tuning.
- Familiarity with industry frameworks and libraries such as HuggingFace, LangChain, and DSPy.
- Proven expertise in deploying production-grade generative AI systems with a focus on evaluation and system optimizations.
- Extensive hands-on industry background in data science utilizing standard tools including pandas, scikit-learn, and PyTorch.
- Practical experience constructing production-grade machine learning deployments across cloud environments like AWS, Azure, or GCP.
- Possession of a graduate degree in a quantitative discipline such as computer science, engineering, statistics, or operations research, or equivalent practical experience.
- Strong communication abilities to explain technical concepts effectively to both technical and non-technical stakeholders.
Nice to have
- Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets.
Skills and tech stack
Questions candidates ask
What is the travel requirement for this role?
Team members should be willing to travel once every four to eight weeks to see customers as needed. Preferred locations for the position include Stockholm, Sweden.
What kind of team will I be working with?
The AI Forward Deployed Engineering team is a highly specialised customer-facing AI group at Databricks that delivers professional services engagements. The group operates cross-functionally alongside engineering, product, and developer relations while viewing the team as an ensemble of unique specialisations.
What technologies and tools are used on the team?
Engineers work with tools such as HuggingFace, LangChain, and DSPy to build generative AI applications involving retrieval-augmented generation, multi-agent systems, and fine-tuning. Additional tools include pandas, scikit-learn, PyTorch, major cloud platforms like AWS, Azure, or GCP, and optionally the Databricks Intelligence Platform with Apache Spark.