AI Forward Deployed Engineer (GenAI)

Location: Amsterdam, Netherlands; candidates must be based in the Netherlands region only, with no remote working available from any other country. Travel to customers is required once every 4–8 weeks as needed.

Company

Databricks is a Data and AI company providing a unified platform for building and scaling data, AI, analytics, and agent applications.

What you will do

• Develop cutting-edge GenAI solutions using current AI research techniques to solve customer problems.
• Own production rollouts of consumer-facing and internal GenAI applications.
• Advise customers as a trusted technical expert across multiple domains.
• Present at conferences and contribute as an internal and external thought leader.
• Collaborate with product and engineering teams to influence priorities and shape the product roadmap.

Requirements

• Minimum 4 years of experience, including extensive hands-on industry data science experience.
• Experience building GenAI applications using approaches such as RAG, multi-agent systems, Text2SQL, and fine-tuning, with tools including HuggingFace, LangChain, and DSPy.
• Expertise deploying production-grade GenAI applications, including evaluation and optimization.
• Experience with machine learning and data science tools such as pandas, scikit-learn, and PyTorch.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
• Graduate degree in a quantitative discipline such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent practical experience.
• Experience communicating and teaching technical concepts to both technical and non-technical audiences.
• Passion for collaboration, lifelong learning, and delivering business value through AI.
• Willingness to travel to customers once every 4–8 weeks as needed.

Nice to have

• Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets.

Culture & Benefits

• Customer-facing AI team working cross-functionally with engineering, product, developer relations, and subject matter expert teams.
• Collaborative environment emphasizing curiosity, lifelong learning, and strategic impact.
• Comprehensive benefits and perks, with details varying by region.
• Commitment to diversity, inclusion, and equal employment opportunity.