AI Forward Deployed Engineer - Netherlands

Databricks Inc.; United States; Remote; USD 138,000 - 207,000; Full time

Benefits offered by this job

Remote work within Netherlands

Job summary

Databricks is seeking an experienced GenAI engineer for a customer-facing role in the Netherlands. You will design and deploy cutting-edge GenAI solutions, implement retrieval-augmented generation, and lead production rollouts across customer projects, academia, and internal teams.

You will collaborate with product and engineering to shape roadmaps and share insights at industry venues. You will leverage HuggingFace, LangChain and DSPy, deploy on AWS/Azure/GCP, and translate results for diverse

Qualifications

• Graduate degree in a quantitative discipline or equivalent practical experience.
• Hands-on GenAI engineering with production ML systems.

Responsibilities

• Design and build novel GenAI solutions applying state-of-the-art techniques to real customer problems.
• Lead end-to-end production rollouts of GenAI applications (customer-facing and internal).
• Serve as trusted technical advisor on architecture and implementation choices.
• Represent work at major industry conferences and contribute to thought leadership.
• Partner with product and engineering to influence roadmap priorities from field insights.

Skills

GenAI experience

Retrieval-Augmented Generation

Multi-agent workflows

Text2SQL

Fine-tuned models

Pandas

scikit-learn

PyTorch

AWS/Azure/GCP

Communicating complex concepts

Education

Graduate degree in CS/Engineering/Statistics or equivalent

Tools

HuggingFace

LangChain

DSPy

Job description

Role overview

Join a customer-facing AI engineering team that delivers professional services engagements, helping clients design and ship first-of-a-kind generative AI applications. The role blends hands-on engineering with strategic consulting, working alongside product, engineering, and developer relations counterparts to shape long-term priorities across GenAI, LLMOps, and broader machine learning. You will report to the Senior Manager of AI Forward Deployed Engineering in EMEA, contributing a specialist skillset to an ensemble of practitioners, ideally based in or near Amsterdam.

Responsibilities

• Design and build novel generative AI solutions that apply state-of-the-art techniques from recent AI research to real customer problems.
• Lead end-to-end production rollouts of both customer-facing and internal GenAI applications.
• Act as a trusted technical advisor across multiple customer domains, guiding architecture and implementation choices.
• Represent the work at major industry conferences and contribute to thought leadership both internally and externally.
• Partner with product and engineering teams to influence roadmap priorities based on field insights.

Requirements

• Hands-on experience building GenAI applications such as retrieval-augmented generation systems, multi-agent workflows, Text2SQL pipelines, or fine-tuned models.
• Familiarity with popular GenAI frameworks including HuggingFace, LangChain, and DSPy.
• Production deployment experience for generative AI, including evaluation pipelines and optimization strategies.
• Strong data science background using tools such as pandas, scikit-learn, and PyTorch.
• Proven track record deploying production-grade machine learning systems on AWS, Azure, or GCP.
• Graduate degree in a quantitative discipline (computer science, engineering, statistics, operations research, or similar) or equivalent practical experience.
• Ability to explain complex technical concepts clearly to both technical and non-technical audiences.

Nice to have

• Experience working with unified data and AI platforms and Apache Spark for large-scale distributed datasets.
• Comfort with regular customer travel, roughly once every four to eight weeks.

Benefits and work setup

• Region-specific benefits package, with details provided during the hiring process.
• Inclusive hiring practices and a stated commitment to equal opportunity.
• Remote work permitted within the Netherlands, with Amsterdam as the preferred location.