About this role
Architect and engineer enterprise-grade LLM, GenAI and agentic AI components, translating high-level architecture into production-quality Databricks-based components including RAG pipelines, agents, model serving and governance. Responsibilities include implementing ingestion, embeddings, vector search, safety and control features, evaluation harnesses, and collaborating with architects, data engineers and security stakeholders.
Skills for this role
Generative AIDatabricks Mosaic AIModel ServingAgent FrameworkMLflowVector SearchUnity CatalogDelta LakeLakehouse MonitoringFeature StoreDatabricks WorkflowsNotebooksModel TrainingRAGFunction/tool callingAgent orchestrationPrompt engineeringEmbeddingsVector databasesEvaluation metricsPythonAPIsDistributed systemsCI/CDTestingObservabilitySecure SDLCData ingestionParsingChunking (data)