Lead Solutions Architect - Generative AI

About the role

The Lead Solutions Architect for Generative AI will serve as the primary technical authority for the EMEA Emerging Digital Natives and Startups business unit. This role involves partnering with account teams to design, de-risk, and operationalize complex GenAI and LLM use cases for high-growth customers. The position requires a hands-on expert who can build proofs of concept, influence product roadmaps, and mentor the broader field engineering team.

Responsibilities

• Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit.
• Partner with Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases.
• Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads.
• Lead fine-tuning and model-customisation engagements on open LLMs, including evaluation approaches.
• Act as a bridge to Product and Engineering to channel field and customer feedback into the roadmap.
• Enable and mentor the broader EMEA Emerging DNB Field Engineering team through workshops and reference architectures.
• Represent Databricks externally as a technical thought leader through conference talks and blogs.

Required skills

• Generative AI
• LLM
• Machine Learning
• Deep Learning
• RAG
• Agentic systems
• Fine-tuning
• MLOps
• Python
• PyTorch
• Transformers
• MLflow
• Spark
• Databricks
• Cloud architecture

Nice to have

• Public speaking
• Technical blogging
• Open-source contributions
• Healthcare domain expertise
• Financial services domain expertise

Qualifications

• Experience helping digital-native customers build data and ML solutions

About the Company

Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.