GenAI Solutions Engineer — Productionized AI for Customers

Databricks

Amsterdam

On-site

EUR 110,000 - 160,000

Full time

13 days ago
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Benefits offered by this job

Benefits package
Remote-friendly environment
Travel options for customer visits

Job summary

Databricks’ AI Forward Deployed Engineering (AI FDE) team is seeking an experienced, highly collaborative AI specialist to deliver GenAI solutions for customers, own production rollouts, and act as a trusted technical advisor. You will work cross-functionally with product and engineering, and you’ll travel to meet clients.

The role emphasizes cutting-edge GenAI work, including RAG, multi-agent systems, LangChain, and DSPy, with a strong focus on delivering real business value and staying ahead

Qualifications

  • The candidate should have a track record of building GenAI applications and productionizing them for customers.
  • Experience deploying production-grade ML solutions across cloud platforms (AWS/Azure/GCP).
  • Strong communication skills to explain complex concepts to non-technical and technical audiences.

Responsibilities

  • Develop cutting-edge GenAI solutions using the latest Databricks AI research.
  • Own production rollouts of GenAI applications for customers.
  • Serve as a trusted technical advisor to customers across domains.
  • Present at conferences and collaborate with product and engineering teams to influence roadmap.

Skills

GenAI development
Production deployments
Data science experience
Technical advisory

Education

Graduate degree in CS/Engineering/Statistics or equivalent

Tools

HuggingFace
LangChain
DSPy
AWS
Azure
GCP
Pandas
scikit-learn
PyTorch

Job description

Databricks’ AI Forward Deployed Engineering (AI FDE) team is seeking an experienced, highly collaborative AI specialist to deliver GenAI solutions for customers, own production rollouts, and act as a trusted technical advisor. You will work cross-functionally with product and engineering, and you’ll travel to meet clients.

The role emphasizes cutting-edge GenAI work, including RAG, multi-agent systems, LangChain, and DSPy, with a strong focus on delivering real business value and staying ahead

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