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Lead Solutions Architect - Generative AI (EMEA Emerging DNB)

Databricks Mosaic · Remote - Germany · London, United Kingdom

Infrastructureremotelead
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At a glance

Highlights

  • Be the go-to expert moving ambitious GenAI ideas to production reality.
  • Shape how one of EMEA's highest-growth units adopts Generative AI.
  • Represent Databricks externally through talks, blogs and briefings.

Ideal candidate

A builder and teacher who lives at the frontier of applied GenAI, thrives at startup pace, and loves earning trust with sharp engineers while elevating those around them.

Requirements

  • Strong understanding of LLM landscape, including proprietary and open-source models, trade-offs and suitability
  • Deep expertise in modern GenAI stack including RAG, agents, fine-tuning, evaluation and safety
  • Strong foundations in ML and deep learning including distributed training, GPU workloads and MLOps lifecycle
  • Proficiency in Python and ML ecosystem including PyTorch, Transformers, MLflow and Spark
  • Experience with Databricks platform including Mosaic AI, Model Serving, Vector Search and Unity Catalog
  • Cloud experience across AWS, Azure or GCP
  • Excellent communication and consultative skills with engineers and senior technical executives
  • Track record of technical leadership and mentorship
  • Comfort operating at the pace of digital-native high-growth customers
remote policy
Remote/hybrid in Germany

Lab profile

About Databricks Mosaic

Builds unified data analytics and AI platform to productionize AI applications.

What they build

  • Databricks platform
  • Unified Data Analytics and AI
  • AI platform

Known for

  • Forward-deployed AI engineering
  • Productionizing first-of-kind AI applications
  • Customer platform adoption and scale
  • Cross-functional engineering and product collaboration
More about Databricks Mosaic →
Apply on the lab’s site ↗

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