GenAI & ML Solutions Architect – Lead AI Pipelines

Databricks Inc.; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Databricks seeks a senior technologist to architect production-grade ML and AI workloads, spanning end-to-end pipelines, training/inference optimization, and MLOps lifecycle management with cloud-native integration.

You will lead GenAI initiatives, advise solution architects during pre-sales and post-sales cycles, influence the AI roadmap, and contribute tutorials, trainings, and community activities to accelerate adoption.

Qualifications

• 10+ years of hands-on DS/ML experience with enterprise scale projects.
• Experience building production-grade cloud ML infrastructure (AWS/Azure/GCP).
• Strong knowledge of LLMs, agentic systems, and MLOps lifecycles.
• Hands-on with distributed Spark based systems and data engineering basics.
• Pre-sales or post-sales client interactions preferred (5+ years).
• Familiarity with Apache Spark for large datasets.

Responsibilities

• Architect and implement production ML/AI workloads and pipelines.
• Lead GenAI initiatives including RAG architectures and guardrails.
• Support Solution Architects during technical sales with MVPs.
• Influence product roadmap by voicing customer needs.
• Create tutorials, trainings and present at conferences; drive adoption.

Skills

Experience 10+ years DS/ML

ML engineering

Data Science/AI

Distributed Spark

Data engineering concepts

Pre-sales/post-sales with clients

Apache Spark

Tool-calling / multi-agent orches,

Tools

Apache Spark

HuggingFace

LangChain

Job description

Databricks seeks a senior technologist to architect production-grade ML and AI workloads, spanning end-to-end pipelines, training/inference optimization, and MLOps lifecycle management with cloud-native integration.

You will lead GenAI initiatives, advise solution architects during pre-sales and post-sales cycles, influence the AI roadmap, and contribute tutorials, trainings, and community activities to accelerate adoption.