Senior ML & AI Technical Solutions Engineer

<p>P-1377</p> <h4><strong>Mission</strong></h4> <p>As a Senior ML and AI Technical Solutions Engineer, you play a critical role by helping customers debug and maintain stable GenAI and ML Workloads with AI agent systems using the Databricks Platform.&nbsp; You will develop product expertise end-to-end by advising a broad set of customers and use cases across the space - including products such as Agent Bricks, Vector Search and Model Serving.&nbsp; You will collaborate cross-functionally with other teams - whether that’s working with engineering to improve the product or interacting directly with the account team on a specific customer issue.&nbsp; TSEs have proven production troubleshooting and optimisation experience to help our customers’ workloads run smoothly and to achieve their strategic objectives with ML/AI technology with Databricks.&nbsp; Additionally, you are an early adopter of GenAI technology to improve your own efficiency and amplify the team's output.&nbsp; Reporting to a TSE manager - you will be part of a world class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service.</p> <h4><strong>The Impact You Will Have</strong></h4> <ul> <li>Act as senior technical solution expert for complex issues spanning data pipelines, ML pipelines and/or AI applications, applying deep expertise in distributed systems.&nbsp;</li> <li>Analyse and troubleshoot production workloads at the code level, optimise for performance, reliability, latency, and cost.</li> <li>Diagnose and support Machine Learning and/or Large Language Model deployments, including real-time and batch inference, autoscaling, monitoring, logging, and alerting. Serve as a Subject Matter Expert guiding customers on experiment tracking, model registry, versioning, evaluation, labelling, tracing, and lifecycle observability.</li> <li>Provide high-quality support by guiding customers in leveraging Databricks AI to solve generativ