Sr. Principal Architect-Data

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.  Principal Architect-R4 Databricks AI Design & Architecture | Agentic AI Systems As a Principal Architect for Databricks AI & Agentic Systems, you will own the end-to-end technical strategy and architecture of Lilly's AI data platform. You will design the systems that enable autonomous, multi-agent AI workflows—spanning data ingestion, semantic modeling, model orchestration, and real-time decision intelligence—while setting the architectural standards the engineering organization builds against. This is a senior individual contributor and technical leadership role. You will be the definitive technical authority on Databricks architecture, agentic AI design patterns, and AI/ML platform engineering—directly influencing how Lilly uses AI to transform pharmaceutical R&D, commercial operations, and patient care. KEY RESPONSIBILITIES AI Architecture & Agentic System Design Architect multi-agent AI systems on Databricks, defining agent orchestration frameworks, tool-use patterns, memory/state management, and inter-agent communication protocols. Design agentic workflows that combine LLMs, retrieval-augmented generation (RAG), and structured data reasoning to support autonomous decision-making pipelines. Establish architecture patterns for agent-to-agent orchestration using frameworks such as LangGraph, AutoGen, CrewAI, or equivalent, integrated within the Databricks ecosystem. Define how AI agents interact with Unity Catalog assets—tables, models, volumes, and functions—as tool surfaces for autonomous data retrieval and action execution. Architect real-time and near-real-time agentic pipelines leveraging Databricks Structured Streaming, Delta Live Tables, and event-driven triggers. Databricks Platform Architecture Own the Databricks Lakehouse architecture end-to-end: catalog/schema design, medallion architecture (raw → refined → curated → AI-ready), storage optimization, and multi-workspace governance. Define and enforce Unity Catalog standards for AI assets—model registries, feature tables, vector search indexes, and function-as-a-tool registrations—enabling governed AI consumption across the enterprise. Architect the semantic and metrics layer so business logic is expressed once, consistently consumed by BI tools, AI agents, and downstream APIs.