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# Senior Specialist Solutions Architect (AI/ML)

- **Company:** Databricks, Inc.
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Engineering, Machine Learning, Large Language Models, Multi-Agent Systems, Apache Spark, Deployment Automation, HuggingFace, Machine Learning Operations, Databricks
- **Published:** September 26, 2026
- **Apply:** https://www.totaljobs.com/job/senior-specialist/databricks-job108047676

## About the Role

* ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance.
 * Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain).
 * Hands-on experience working with Distributed Spark based systems
 * Experience with data engineering concepts or a good understanding of data engineering concepts
 * Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred
 * [Preferred] Experience working with Apache Spark to process large-scale distributed datasets
 * Communication:
 * Core Traits:
 * Education:
 * Can meet expectations for technical training and role-specific outcomes within 3 months of hire
 * Can travel up to 30% when needed

## Description

As a Senior Specialist Solutions Architect (ML & AI), you will 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 cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader., * Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges.


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