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Currently tracking 28 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $58k–$345k (avg $175k).

Hiring
28 / 39
Momentum (4w)
↓-118 -25%
357 opens last 4w · 475 prior 4w
Salary range · avg $175k
$58k–$345k
USD · disclosed roles only
Tracked since
Nov '25
last role 2w ago
Hiring velocityscroll left for older weeks
1 new role
Mar 25
1 new role
Jun 10
1 new role
Oct 7
1 new role
Dec 30
1 new role
Jun 16
1 new role
23
1 new role
Jul 14
1 new role
21
1 new role
28
1 new role
Sep 1
2 new roles
15
1 new role
22
2 new roles
29
2 new roles
Oct 6
1 new role
13
2 new roles
20
1 new role
27
2 new roles
Nov 3
2 new roles
10
5 new roles
17
2 new roles
24
1 new role
Dec 1
6 new roles
8
3 new roles
15
1 new role
22
3 new roles
Jan 5
9 new roles
12
2 new roles
19
12 new roles
26
18 new roles
Feb 2
15 new roles
9
6 new roles
16
16 new roles
23
14 new roles
Mar 2
24 new roles
9
23 new roles
16
53 new roles
23
62 new roles
30
50 new roles
Apr 6
97 new roles
13
99 new roles
20
121 new roles
27
158 new roles
May 4
113 new roles
11
97 new roles
18
66 new roles
25
81 new roles
Jun 1

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.

Auto-generated from active job postings · last refreshed 2026-05-24

Frequently asked questions

  • What AI roles is Eli Lilly hiring for?

    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.

  • What stage of AI development does Eli Lilly focus on?

    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.

  • Where is Eli Lilly hiring AI talent?

    Eli Lilly is hiring AI talent in: United States (29 roles), India (7 roles).

  • What technologies does Eli Lilly's AI team work with?

    Job postings at Eli Lilly most frequently reference: agent orchestration, rag, model serving, llm observability, vector db.

  • How many AI roles has Eli Lilly posted recently?

    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).

Jobs (3)

27 AI · 601 total active
FilteredFunctionProduct×CountryUnited States×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllData · 6Serve · 2Agent · 16Eval Gate · 2Ship · 1
Function
AllEngineering · 17Research · 6Product · 4
Country
AllUnited States · 22India · 5
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TitleStageFunctionLocationFirst seenAI score
Director – Software Product Management, Enterprise AI Orchestration
The Director of Software Product Management for Enterprise AI Orchestration at Eli Lilly will define and drive the strategy for deploying, managing, and optimizing AI agents and workflows at an enterprise scale within the pharmaceutical industry. This role involves owning the product roadmap for an enterprise AI orchestration platform, enabling business units to build and manage AI workforces, and ensuring AI investments deliver measurable business value while adhering to compliance requirements.
AgentProductIndianapolis, IN5w ago7
Director, Software Product Management – Discovery Research Platforms
Product Management leader to shape strategy and development of custom software platforms for discovery research, focusing on computational drug design and optimization for large molecules. The role involves integrating agentic AI capabilities into research workflows, accelerating design-make-test-learn cycles, and enabling scientists to compose complex computational pipelines through AI-assisted interfaces. Requires partnership with computational biologists, protein engineers, and engineering teams to translate research needs into scalable software platforms.
Agent
Product
Indianapolis, IN +1
Apr 10
7
Director/Senior Director/ Executive Director: Digital Innovation & Technology Strategy – Global PK/PD & Pharmacometrics
This role focuses on developing and implementing a digital strategy for integrating AI, ML, and automation into quantitative pharmacology and pharmacometrics workflows within a healthcare setting. The goal is to accelerate drug development, position the organization as an industry leader in AI-enabled drug development, and ensure scientific rigor and regulatory compliance. The role involves evaluating emerging AI technologies, leading pilots, partnering with IT and data science teams, driving AI adoption through organizational change, and defining success metrics.
ShipProductIndianapolis, IN +1Feb 117