AI Forward Deployed Engineer - Netherlands
About this role
The AI Forward Deployed Engineering team at Databricks builds custom generative artificial intelligence applications through specialized professional services engagements. Engineers in this group collaborate cross-functionally with product, engineering, and developer relations to shape strategic priorities and support internal subject matter experts. Team members work directly with clients to deliver production-grade generative solutions and serve as trusted technical advisors across multiple domains.
Professionals in this function develop novel applications incorporating recent research findings and own production rollouts for both consumer and internal use cases. The ideal candidate possesses extensive industry experience in data science, strong customer-facing communication skills, and a genuine curiosity regarding generative artificial intelligence trends, large language model operations, and broader machine learning technologies.
What you will do
- Design and build generative artificial intelligence solutions utilizing recent techniques from Databricks research to address customer challenges.
- Manage the complete production rollout lifecycle for consumer-facing and internal applications.
- Act as a trusted technical advisor by guiding clients across diverse business domains.
- Represent the organization as a thought leader by presenting at industry events like the Data + AI Summit.
- Partner cross-functional teams in product and engineering to influence feature priorities and guide product roadmaps.
What you need
- Build generative artificial intelligence systems such as retrieval-augmented generation, multi-agent frameworks, text-to-SQL conversions, and model fine-tuning using libraries like HuggingFace, LangChain, and DSPy.
- Deploy robust production-grade applications with established evaluation and optimization protocols.
- Apply extensive hands-on industry data science experience utilizing standard libraries including pandas, scikit-learn, and PyTorch.
- Construct production-level machine learning deployments across cloud platforms such as AWS, Azure, or GCP.
- Hold a graduate degree in a quantitative field like Computer Science, Engineering, Statistics, or Operations Research, or demonstrate equivalent practical experience.
- Communicate complex technical concepts effectively to both technical stakeholders and non-technical audiences.
Nice to have
- Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets
- Willingness to travel once every 4-8 weeks to see customers as needed
Skills and tech stack
Questions candidates ask
Can I work remotely from another country for this Amsterdam role?
Candidates must be based in the Netherlands region only, and no remote working is available from any other country.
What kind of travel is expected for this position?
The role requires willingness to travel once every 4-8 weeks to see customers as needed.
What tools and frameworks will I use on the team?
You will work with tools such as HuggingFace, LangChain, DSPy, pandas, scikit-learn, PyTorch, AWS, Azure, GCP, the Databricks Intelligence Platform, and Apache Spark.