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 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.
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 |
|---|---|---|
| Director, Discovery Bioinformatics Oncology Lead the AI/ML innovation & deployment for oncology discovery, architecting and operationalizing state-of-the-art machine learning (deep learning, foundation models, LLM-powered applications) to accelerate target identification, protein/antibody design, and multimodal data integration. Develop next-gen data integration platforms, advance computational protein & antibody design using active learning, and design/oversee experiments. Deliver robust, scalable ML systems with MLOps on cloud platforms and foundational bioinformatics. | AgentData | 8 |
| Sr. Principal or Engineering Advisor - Agentic Lab Automation Integration This role focuses on engineering the integration between agentic AI and physical lab systems, specifically for automating and accelerating molecule discovery in a healthcare setting. The engineer will build multi-agent systems, design agent workflows that interact with lab automation platforms, and deploy these systems into production environments. The goal is to create autonomous agents that can execute experiments, reduce experimental cycle times, and become integral to lab operations. |
| Agent |
| 8 |
| Director, Discovery Bioinformatics Oncology Lead the AI/ML innovation & deployment for oncology discovery, architecting and operationalizing state-of-the-art machine learning models (deep learning, foundation models, LLMs) to accelerate target identification, protein/antibody design, and multimodal data integration. Develop next-gen data integration platforms, advance computational protein & antibody design using active learning, and design/oversee experiments. Deliver robust, scalable ML systems with MLOps on cloud platforms and ensure foundational bioinformatics practices. | AgentData | 8 |
| Advisor - Software Engineer Advisor Software Engineer (R5) role focused on designing and building agentic AI systems, intelligent automation pipelines, and next-generation software platforms. This is a hands-on technical leadership role involving system design, full-stack engineering, and championing AI-driven development practices within a healthcare company. | Agent | 8 |
| Scientific Lead - Forward Deployed AI Engineer, Applied Intelligence for Discovery The Forward Deployed AI Engineer will embed with research teams to translate scientific use-cases into production AI systems for drug discovery. This role involves applying LLMs, RAG, and agentic frameworks to solve scientific problems, running evaluation loops, and distilling learnings into reusable components. The engineer will own end-to-end deployments, ensuring reliability and integrating with AI/LLMOps platforms, with a focus on measurable workflow impact and evidence-based feedback loops. | AgentServe | 8 |
| Software Engineer, AI & Clinical Applications Software Engineer role focused on building AI-powered and agentic applications to automate clinical workflows within a regulated healthcare environment. The role involves full-stack development, architecting LLM-integrated tools, and ensuring compliance with industry standards. | Agent | 7 |
| Director/Senior Director, Analytical Methods (Methods4Insight) Director/Senior Director, Analytical Methods role within Lilly's Data Foundry team, focusing on developing and deploying cutting-edge analytical methods (cheminformatics, computational structural biology, statistical modeling, AI/ML) to accelerate molecule discovery. This role involves translating advanced methods into practical capabilities for both human scientists and autonomous AI agents, collaborating with other Data Foundry pillars and Frontier AI, and establishing best practices for method validation and impact tracking. | Agent | 7 |
| Sr. Staff Software Engineer - AI Chat Senior Staff Software Engineer to own the technical direction and delivery of ChatNow's core platform, which includes the routing engine that matches intent to the right agent, the integration layer that connects a growing ecosystem of AI capabilities, and the experience layer that makes it all feel effortless. The role involves defining the architecture and driving implementation of the conversation routing engine, owning the agent integration layer, building streaming chat interfaces, and integrating LLM capabilities through a model gateway with multi-model routing and fallback. | Agent | 7 |
| Technical Lead - Software Developer, Data Foundry Scientific Software Developer to build software systems for AI-native drug discovery. This role involves creating prototypes, data pipelines, APIs, MLOps infrastructure, agentic platform components, and lab automation integrations. The work spans architecture, methods, and automation, with a focus on a prototype-to-production model, handing off mature solutions to an enterprise scaling team. Responsibilities include building data pipelines for scientific datasets, developing APIs for LIMS and instruments, implementing MLOps for model deployment and observability, developing agent-ready APIs and infrastructure for closed-loop experimentation, integrating lab automation, and building cloud-native components with DevSecOps practices. | AgentServe | 7 |
| Senior Principal Software Engineer Senior Principal Software Engineer to join the AI & Platform team, focusing on designing, building, and scaling intelligent systems using Generative AI and LLMs. The role involves end-to-end delivery of GenAI/LLM-powered platform capabilities, designing multi-agent AI architectures, and working across backend and frontend layers. Requires strong software engineering skills, cloud-native architecture experience, and familiarity with agentic AI frameworks. | Agent | 7 |
| Advisor - Lab Automation Software Engineer This role focuses on designing and building AI-integrated, closed-loop autonomous discovery ecosystems for biotherapeutics research. It involves orchestrating automated laboratory workflows, implementing ML models for optimization, and creating digital lab infrastructure. The primary output is an agentic system that proposes hypotheses, executes experiments, analyzes results, and iteratively refines designs. | AgentData | 7 |
| Senior Director, Software Engineering - Silicon Valley Hub Senior Director of Software Engineering to lead architecture, design, and development of AI platforms and products within a healthcare company. The role involves hands-on coding, technical leadership, and partnering with product managers to translate ambiguous problems into technical roadmaps. Focus on building agentic AI platforms, LLM application patterns, and evaluating emerging technologies. | Agent | 5 |
| Scientific Software Developer, Data Foundry Scientific Software Developers are needed to build the data infrastructure, scientific tools, and lab automation integrations that power AI-native drug discovery. This role involves working with scientists to create prototypes, data pipelines, APIs, and workflow tools, with a focus on enabling autonomous AI agents and closed-loop experimentation through lab automation. The role is anchored in Architecture4Insight, with collaboration across Methods4Insight and Automation & Scale4Insight, and involves building scientific software consumed by other teams, including AI agents. | AgentData | 5 |
| Advisor - Lab Automation Software Engineer, AI-Integration This role focuses on integrating software and AI capabilities into laboratory automation for antibody discovery. The engineer will lead the design and implementation of software integrations between automation infrastructure and digital tools, including exploring and prototyping AI-driven decision-making in workflows. The goal is to build intelligent systems for closed-loop autonomous discovery, accelerating biologics development. | Agent | 5 |