Eli Lilly currently has 36 active AI-related job listings. The majority of these roles, 56%, are focused on agents, with data-related positions making up another 28%. Engineering is the most frequent function for these hires. The company is primarily hiring in the United States and India. Frequent technology tags include agent orchestration, RAG, and model serving, indicating a focus on building and deploying AI systems.
Currently tracking 28 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $58k–$345k (avg $175k).
Eli Lilly currently has 36 active AI-related roles in our index. The most common open titles are: Director, Discovery Bioinformatics Oncology (2), Advisor - Agent Research, Advisor - Antibody Developability Validation & Benchmarking, Advisor - Data Architect, Data Foundry, Advisor - Lab Automation Software Engineer. Most positions are in Engineering and Research.
Eli Lilly's active AI hiring is concentrated in: agents (53%), data (25%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Eli Lilly is hiring AI talent in: United States (29 roles), India (7 roles).
Job postings at Eli Lilly most frequently reference: agent orchestration, rag, model serving, llm observability, vector db.
In the past 30 days, Eli Lilly has posted 12 new AI-related roles. That is a -48% change versus the prior 30 days (23 → 12).
| Title | Stage | AI score |
|---|---|---|
| Product Manager - GenAI Product Manager for GenAI products at Eli Lilly, focusing on defining vision, strategy, and execution. Requires experience with GenAI concepts, agent evaluation, and AI tools, bridging user needs with technical delivery in a healthcare context. | Agent | 7 |
| Manager/ Senior Manager Medical Science Liaison Manager/Senior Manager Medical Science Liaison role at Eli Lilly, a global healthcare leader. The role focuses on engaging with scientific experts in oncology, providing deep scientific knowledge, and communicating clinical insights to inform Lilly's strategic direction. Requires advanced scientific expertise and strong communication and relationship-building skills. | — | 0 |