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Technical Lead Architect responsible for the architecture, design, and integration of Global Patient Safety systems at a major pharmaceutical company, working with AI/ML, agentic workflows, cloud platforms, and safety systems like Veeva Safety and Oracle Argus.
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.…
Designs and owns digital manufacturing solutions (e.g., predictive maintenance dashboards, audit trails) using Python, Seeq, and Power BI to improve global pharma operations.
Hands-on data engineer building production data pipelines and agentic AI components (RAG, tool-calling agents) for clinical and non-clinical data at Lilly, using Python, Spark/PySpark, Databricks, and LLM frameworks in a regulated pharma environment.
Lead a team to design and implement end-to-end test automation for AI-powered healthcare systems, validating LLMs, RAG pipelines, and model outputs using frameworks like RAGAS and DeepEval.
Lead large capital projects ($50M+) for pharma manufacturing facilities, coordinating teams to deliver safe, compliant assets from design through qualification.
Own and lead the identity and access product roadmap for Lilly’s consumer systems, setting AI automation strategy for SSO, authentication, and consent while ensuring compliance in a regulated healthcare environment.
Internship role assisting with AI platform exploration, POC development, and adoption support using Microsoft Copilot and related tools.
Oversee multi-hundred-million-dollar capital programs for Lilly’s manufacturing sites, coordinating global teams to deliver new or upgraded facilities from design through qualification while ensuring safety, cost, schedule, and quality.
Design, automate, and maintain enterprise Linux platforms (RHEL, Ubuntu, SUSE) across on-prem, cloud, and hybrid environments using Ansible, GitOps, and IaC to deliver Linux as a Service.
Build and maintain Databricks/AWS pipelines and lakehouse architectures to power consumer analytics and AI-driven insights for a global pharmaceutical company.
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