Senior Specialist Solutions Architect - AI & ML Engineer

Job Description

Senior Specialist Solutions Architect (AI/ML) - Databricks Skip to main content Login Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Explore the Databricks partner ecosystem Partner Spotlight Featured partner announcements Partner Program Explore benefits, tiers and how to become a partner Cloud Providers Databricks on AWS, Azure and GCP Find a Partner Discover Databricks partners for your needs Partner Solutions Find custom industry and migration solutions Product Databricks Platform Platform Overview A unified platform for data, analytics and AI Data Engineering ETL and orchestration for batch and streaming data AI Assistant Agentic coworker for business users Data Warehousing Serverless data warehouse for SQL analytics Application Development Quickly build secure data and AI apps Database Postgres for data apps and AI agents Artificial Intelligence Build and deploy ML and GenAI applications Governance Unified governance for all data, analytics and AI assets Business Intelligence Intelligent analytics for real-world data Security Open agentic SIEM built for the AI era Customer Data Platform Agentic CDP embedded in Databricks Sharing Open data sharing for data, analytics and AI Integrations and Data Marketplace Open marketplace for data, analytics and AI IDE Integrations Build on the Lakehouse in your favorite IDE Partner Connect Discover and integrate with the Databricks ecosystem Pricing Databricks Pricing Explore product pricing, DBUs and more Cost Calculator Estimate your compute costs on any cloud Open Source Open Source Technologies Learn more about the innovations behind the platform Solutions Databricks for Industries Telecommunications Media and Entertainment Financial Services Public Sector Healthcare & Life Sciences Retail Manufacturing See All Industries Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Migration & Deployment Data Migration Forward Deployed Engineering Solution Accelerators Explore Accelerators Move faster toward outcomes that matter Resources Learning Training Discover curriculum tailored to your needs Databricks Academy Sign in to the Databricks learning platform Certification Gain recognition and differentiation Free Edition Learn professional Data and AI tools for free University Alliance Want to teach Databricks? See how. Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more AI Blog Explore our AI research and engineering work Data Brew Podcast Let’s talk data! Champions of Data + AI Podcast Insights from data leaders powering innovation Get Help Customer Support Documentation Community Dive Deep Resource Center Demo Center Architecture Center About Company Who We Are Our Team Databricks Ventures Contact Us Careers Working at Databricks Open Jobs Press Awards and Recognition Newsroom Security and Trust Security and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Overview Culture Benefits Diversity Engineering Research Students & new grads Back to search results Senior Specialist Solutions Architect (AI/ML) London, United Kingdom Apply now ReqID: FEQ327R501 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission 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. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. 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. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform’s AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well