Senior AI Solutions Architect (GenAI/ML)

Databricks Inc.; City Of London; Presencial; GBP 120.000 - 180.000; Jornada completa

Descripción de la vacante

Databricks is seeking a Senior Specialist Solutions Architect (ML & AI) to serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production‑grade ML and AI applications on the Databricks Data Intelligence Platform.

You will also continue to sharpen your technical expertise in GenAI, ML, MLOps, and LLMOps, while mentoring colleagues.

Formación

• 10+ years of hands-on DS/ML experience with production workloads.
• Experience with distributed Spark systems and data engineering concepts.
• Pre- or post-sales experience with external clients (5+ years preferred).
• Willingness to travel up to 30% as needed.
• Graduate degree in a quantitative field or equivalent practical experience.

Responsabilidades

• Architect production-scale ML/AI workloads including end-to-end pipelines and MLOps.
• Lead GenAI initiatives with RAG, agentic systems, tool-calling, and observability.
• Provide advanced technical support during the sales cycle with MVPs and sessions.
• Collaborate with product/engineering to influence the AI roadmap.
• Create tutorials and training materials; participate in industry events.

Conocimientos

Data Science

Machine Learning

AI

LLM

GenAI

Distributed Spark

Educación

Graduate degree in a quantitative discipline

Herramientas

HuggingFace

Langchain

Spark

AWS

Azure

GCP

Descripción del empleo

Databricks is seeking a Senior Specialist Solutions Architect (ML & AI) to serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production‑grade ML and AI applications on the Databricks Data Intelligence Platform.

You will also continue to sharpen your technical expertise in GenAI, ML, MLOps, and LLMOps, while mentoring colleagues.