Senior AI/ML Solutions Architect — GenAI & MLOps Lead

Fdetimes; Greater London; Hybrid; GBP 110,000 - 170,000; Full time

Job summary

Databricks is seeking a Senior Specialist Solutions Architect (ML & AI) to guide enterprise customers in building production-grade ML and AI applications on the Databricks platform. You will partner with Solution Architects to design end-to-end pipelines, optimize training and inference, and lead GenAI initiatives, including RAG architectures and agentic systems.

The role involves mentoring teammates, delivering tutorials and trainings, and representing Databricks at industry events and

Qualifications

• 10+ years of hands-on DS/ML experience with production ML workloads.
• Experience with distributed Spark based systems.
• Pre-sales or post-sales client-facing experience (5+ years) preferred.

Responsibilities

• Architect production-grade ML/AI workloads with end-to-end pipelines, training/inference optimization, and MLOps lifecycle management.
• Lead GenAI initiatives including RAG architectures, agentic systems, AI observability, and natural language querying of data.
• Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs and leading deep-dive sessions.
• Influence the AI roadmap by representing customer voices and collaborating with product and engineering teams.
• Create tutorials and training materials and present at industry conferences and lead hackathons.

Skills

Data Science

Machine Learning

AI

LLM

GenAI

Education

Graduate degree in quantitative discipline

Tools

Apache Spark

HuggingFace

Langchain

Job description

Databricks is seeking a Senior Specialist Solutions Architect (ML & AI) to guide enterprise customers in building production-grade ML and AI applications on the Databricks platform. You will partner with Solution Architects to design end-to-end pipelines, optimize training and inference, and lead GenAI initiatives, including RAG architectures and agentic systems.

The role involves mentoring teammates, delivering tutorials and trainings, and representing Databricks at industry events and