Lead Solutions Architect - Generative AI (EMEA Emerging DNB)
Databricks Mosaic · Remote - Germany · London, United Kingdom
Infrastructureremotelead
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
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