AI Forward Deployed Engineer - Netherlands

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.

• 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.

• Hands-on experience building GenAI applications such as retrieval-augmented generation systems, multi-agent workflows, Text2
  
  SQL pipelines, or fine-tuned models.
• Familiarity with popular GenAI frameworks including Hugging Face, Lang Chain, 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.

• 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.

• 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.