Lead GenAI Solutions Architect - Remote/EMEA

Databricks; City of Amsterdam (NY); Hybrid; USD 135,000 - 202,000; Full time

Job summary

Databricks is seeking a Lead Solution Architect focused on Generative AI to empower our EMEA Emerging DNB clients. You will drive production-grade GenAI implementations, shape architectures, and guide customer roadmaps across Europe, traveling as needed.

You will mentor a 70-person field org, collaborate with SA/SE teams, and contribute to public thought leadership through talks and blogs. This role demands deep GenAI expertise and strong communication with engineers and executives.

Qualifications

• Deep understanding of the LLM landscape and capabilities across proprietary and open-source models.
• Expertise in modern GenAI stack: RAG, agents, tool use, fine-tuning, and evaluation engineering.
• Strong foundations in ML/DL, including distributed training, GPUs, and MLOps lifecycle.

Responsibilities

• Serve as the deep technical authority on Generative AI for the EMEA Emerging DNB unit.
• Scope, design, and de-risk GenAI use cases with field and customer teams.
• Build proofs of concept and reference implementations on Databricks platforms.
• Lead fine-tuning and model customization on open LLMs with evaluative approaches.
• Bridge to Product/Engineering and represent roadmap to field.
• Mentor and enable the EMEA Field Engineering team through workshops and architectures.
• Represent Databricks as a technical thought leader externally.

Skills

LLM landscape

GenAI stack

Python

MLflow

Spark

Vector Search

Unity Catalog

Cloud platforms

Tools

PyTorch

Transformers

Mosaic AI

Model Serving

Job description

Databricks is seeking a Lead Solution Architect focused on Generative AI to empower our EMEA Emerging DNB clients. You will drive production-grade GenAI implementations, shape architectures, and guide customer roadmaps across Europe, traveling as needed.

You will mentor a 70-person field org, collaborate with SA/SE teams, and contribute to public thought leadership through talks and blogs. This role demands deep GenAI expertise and strong communication with engineers and executives.