Eli Lilly and Company Benefits Overview

Provides principal-level technical leadership for enterprise production systems, cloud platforms, reliability engineering, and AI-powered applications. Owns SLOs, observability, incident management, resilience, disaster recovery, automation, platform engineering, and AI operational standards. Leads troubleshooting, governance, operational transformation, and cross-functional initiatives across distributed systems, cloud infrastructure, Kubernetes, DevOps, and generative AI platforms. Mentors engineers and serves as an escalation point for complex operational and technical challenges.

Provides advanced production support for AI-enabled applications, cloud platforms, and distributed systems. Responsibilities include incident diagnosis, root-cause analysis, monitoring, deployment validation, automation, observability, reliability engineering, and collaboration with engineering and product teams. Supports LLM integrations, AI agents, MCP servers, vector databases, retrieval pipelines, and orchestration workflows across AWS, Azure, and GCP. The role also contributes to disaster recovery, capacity management, compliance, documentation, and continuous operational improvement.

Build, deploy, and scale AI and machine learning solutions for commercial, finance, and other enterprise functions. Responsibilities include researching emerging methods, developing production analytics systems, managing feature engineering and data pipelines, monitoring and retraining models, influencing strategic decisions, collaborating cross-functionally, and mentoring team members. The role requires strong technical, analytical, communication, and leadership skills, with expertise in production ML and life sciences business applications.