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 |
|---|---|---|
| Advisor/ Sr. Advisor - AI for Science (ADMET Intelligence) Research Advisor/Sr. Advisor role focused on applying and developing innovative AI/ML models for drug discovery, specifically in ADMET Intelligence. The role involves integrating AI/ML with Chemistry and Biology, developing scientific foundation models, and collaborating with experimental scientists. The goal is to advance drug discovery by connecting computational predictions with lab experiments and publishing research findings. | Post-trainData | 9 |
| Advisor - Applied Deep Learning Architect Research Scientist role focused on designing, implementing, and evaluating deep learning architectures (transformers, diffusion models, GNNs) for protein design and engineering in drug discovery. The role involves multi-modal representation learning, cross-modality molecular modeling, and physics-informed training objectives, collaborating with computational biology and IT teams. |
| Post-train |
| 9 |
| Advisor - Agent Research Seeking a scientist-engineer hybrid to deploy AI-driven discovery platforms using foundation models, multi-agent systems, and robotics in drug discovery workflows. The role involves translating scientific workflows into agentic systems, integrating LLM reasoning with domain tools, and supporting model deployment and inference services. | AgentServe | 9 |
| Advisor - Antibody Developability Validation & Benchmarking The Advisor - Antibody Developability Validation & Benchmarking role at Eli Lilly is part of the AI-powered drug discovery platform, Lilly TuneLab. This role focuses on validating federated antibody models by building benchmark suites, designing test sets, integrating public benchmarks, and developing validation frameworks. The goal is to ensure the trustworthiness of AI models for triaging drug candidates, partnering closely with modeling scientists on design choices and statistical rigor, and integrating validation into the MLOps pipelines. | Eval GatePost-train | 8 |
| 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 |
| Applied AI Engineer, Clinical Informatics This role focuses on building agentic AI applications and ML systems to extract, define, and contextualize patient phenotypes from clinical trial datasets, biobank data, and electronic health records. It involves developing RAG pipelines, applying unsupervised/self-supervised learning, survival models, and NLP techniques to derive translational insights for clinical research. The role requires strong Python/R skills and experience with cloud environments, with a focus on research rigor and reproducibility. | 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 |
| Advisor - AI-Guided Optimization for Biologics This role focuses on building AI-orchestrated pipelines for biotherapeutics discovery, connecting generative design, property prediction, experiment selection, and result interpretation into a semi-autonomous loop with human oversight. It involves designing active learning pipelines for multi-objective optimization and using reinforcement learning to align generative models for desired therapeutic properties. | AgentPost-train | 8 |
| Associate Vice President - Applied Intelligence for Discovery (AI4D) Associate Vice President of Applied Intelligence for Discovery (AI4D) at Eli Lilly, responsible for the technical vision and execution of AI capabilities to transform drug discovery research. This role involves building and leading a multidisciplinary team, setting the technical roadmap for AI/ML platforms, guiding architecture decisions for end-to-end ML workflows, and driving adoption of MLOps practices. The goal is to create computationally driven discovery processes by building platforms where AI enables new workflows, moving beyond mere computational support. | ShipServe | 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 |
| 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 |
| Associate Vice President - Methods4Insight, Data Foundry Associate Vice President leading the analytical methods and computational science pillar within Data Foundry, focusing on accelerating molecule discovery. This role involves leading a team of experts in cheminformatics, computational structural biology, statistical modeling, and AI/ML, ensuring Lilly has access to advanced analytical approaches for both human scientists and AI agents. The position requires strategic decision-making on adopting or developing methods, identifying data gaps, and establishing validation frameworks, with a strong emphasis on integrating methods into AI agent workflows. | DataAgent | 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 |
| Engineer - MLOps & Scientific Platforms - Data Foundry Engineer focused on MLOps and scientific platforms to operationalize AI/ML tools for drug discovery. Responsibilities include building ML deployment pipelines, model serving infrastructure, API layers, and observability guardrails to make scientific methods reliable and scalable for both human scientists and autonomous AI agents. This role bridges methods development and data infrastructure, ensuring tools are analytics-ready, monitored, and exposed via APIs with performance guarantees. | ServeAgent | 7 |
| Post Doctoral Scientist – Human Genomics and Translational Data Sciences This role focuses on applying statistical and computational approaches, including machine learning, to analyze large-scale multi-omics (genomic, proteomic, metabolomic) and clinical data from biobanks and population cohorts. The goal is to identify novel therapeutic targets and biomarkers for cardiometabolic diseases. The role involves developing and implementing bioinformatics pipelines, contributing to novel statistical methods, and collaborating with interdisciplinary teams to guide therapeutic development. While the primary focus is on data analysis and method development (L0/L2), the ultimate aim is to inform drug discovery and development. | DataPost-train | 7 |
| CMC AI/ML and Automation Scientist This role focuses on applying AI/ML and automation within Chemical, Manufacturing, and Controls (CMC) disciplines in pharmaceutical R&D. The scientist will derive insights from data, build decision support tools, leverage LLMs to enhance data science workflows, and contribute to developing autonomous laboratories through AI-driven methodologies and lab automation. The primary focus is on data preparation, feature engineering, and potentially building agentic systems for experimental design and execution. | DataAgent | 7 |
| Applied Bioinformatics Engineer, Pipelines & AI This role focuses on building and scaling analytical pipelines for bioinformatics and genomics data, with a significant emphasis on integrating AI-enabled tooling, including LLMs and agentic workflows. The engineer will prototype agentic workflows for automating analytical tasks, build connectors for LLM agents, and identify use cases for AI to improve research speed and quality. The role requires strong software engineering skills and a curiosity for both classical bioinformatics and modern AI. | Agent | 7 |
| 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. | Agent | 7 |
| Director - Software Product Management - Silicon Valley Hub Product Management Director to lead strategy, development, and execution of AI products and capabilities in the clinical space, focusing on AI-enabled software products in highly regulated environments. The role involves defining and owning product roadmaps for a complex ecosystem supporting clinical and regulatory workflows, partnering with engineering on technical standards for AI systems, and ensuring solutions meet quality, compliance, and trust expectations. | 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 |
| CADD Postdoctoral Scientist Postdoctoral Scientist role focused on developing synthesis-aware virtual screening workflows for early small-molecule drug discovery, integrating AI/ML with structure-based drug design and fragment chemistry. | Data | 7 |
| Computational Biologist - Quantitative Methods & Target Discovery Computational Biologist role focused on analyzing multimodal biological datasets (spatial and single-cell omics, proteomics, metabolomics, functional genomics) to advance target discovery in cardiometabolic diseases. The role involves developing predictive models, integrating diverse data types, applying AI/ML and causal inference methods, and influencing data architecture and analytical standards. Collaboration with internal AI and data engineering teams is key. | Data | 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 |
| Principal Clinical Development AI Engineer Principal Clinical Development AI Engineer at Eli Lilly to design, build, and deploy AI-powered solutions for clinical development workflows, partnering with statisticians and data engineers. The role involves identifying opportunities, building AI tools (including generative and multi-agent systems), establishing trust standards, and communicating results. Requires experience in AI/ML development and building adopted AI tools, with a focus on regulatory compliance and therapeutic area understanding. | Agent | 7 |
| 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 | 7 |
| Director/Senior Director, ADMET & PK/PD Modeling This role focuses on building and validating predictive models for ADMET and PK/PD endpoints within a healthcare AI/ML platform for drug discovery. It involves developing translational and distribution modeling approaches, ensuring model usability for partners, defining data strategies, and leveraging AI/agentic tools for automation and interpretability. The role also includes mentorship of junior scientists. | Data | 7 |
| Scientific Lead - Scientific Data Engineer This role focuses on building the data infrastructure and semantic layer to make scientific data accessible for AI systems, specifically for drug discovery research. It involves designing and building data architectures, ETL/ELT pipelines, and AI-ready data products, including vector embedding pipelines for RAG. The role bridges data infrastructure and generative AI engineers, aiming to convert early deployments into repeatable system standards and evaluation practices. | DataAgent | 7 |
| Operations Lead, AI Products & Agents Seeking a senior leader to drive the strategy, operations, and scale-up of AI-powered support products and agentic experiences at Lilly. The role focuses initially on conversational AI products (chatbots) across IT, HR, Finance, and external channels, delivered through multiple platforms. Responsibilities include owning the product operations roadmap, building and managing AI agents and human operators, driving cross-functional alignment, and ensuring exceptional user experiences at scale. The role also involves a platform transformation mandate to consolidate disparate chatbot and support experiences into a unified, agentic platform, identifying new AI agent opportunities, and rationalizing the product portfolio. This is a high-impact role for someone who thrives at the intersection of product strategy, technical operations, and AI, navigating ambiguity and driving ownership. | Agent | 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. | Ship | 7 |
| Advisor, Data Scientist - CMC Data Products The role focuses on developing and delivering enterprise-scale data products that power AI-driven insights, process optimization, and regulatory compliance within the pharmaceutical domain. It involves defining data archetypes, creating reusable data models, and implementing data frameworks for regulated environments. The core responsibility is building AI-ready data products, including training datasets for various AI/ML applications and supporting generative AI for knowledge management. | Data | 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 |
| Cyber Technical Program Manager This role is for a Cyber Technical Program Manager at Eli Lilly, focusing on managing cybersecurity programs that address current and emerging threats, including those related to AI. The role requires deep understanding of cybersecurity domains, attacker TTPs, and the ability to drive program execution, manage risks, and communicate technical concepts to various stakeholders. It involves understanding threats like AI supply chain risks, identity exploitation, and attack surface management, and applying knowledge of regulatory frameworks. | — | 5 |
| 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 |
| Consumer Product Quality Assurance – Reporting & Insights Lead This role leads the transformation of reporting and analytics for consumer product quality assurance, converting complaint and quality data into validated, decision-ready insights. It involves defining and delivering a global strategy, partnering with IT for scalable solutions, and leveraging automation, AI, and advanced analytics to drive quality, compliance, and process improvements within a GxP-regulated environment. | — | 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 |
| Senior Director- Global Cyber Compliance Senior Director of Global Cyber Compliance to lead the transformation of the compliance function into a high-performing, AI-enabled, risk-responsive program that measurably reduces regulatory risk across Lilly's global technology environment. This leader owns strategy and execution across a complex, multi-framework regulatory landscape, while ensuring every compliance decision is anchored to Lilly's threat-based cyber program. The role requires technical credibility, platform acumen to automate compliance at scale through LogicGate Risk Cloud and AI-augmented workflows, operational leadership, and strong communication skills. | — | 5 |
| Associate Director - LVA Strategy and Innovation This role focuses on accelerating innovation execution within Lilly Value & Access (LVA) by improving consumer experience, business model innovation, and the data/technology foundation. It involves seeking external solutions and internal process improvements through AI and other technologies, piloting initiatives, and collaborating with various stakeholders. The goal is to grow direct business, accelerate learning, enable data-driven decisions, and embed a consumer-centric mindset. | — | 5 |
| Associate Director – BI&A HCP Product Analytics Associate Director for BI&A HCP Product Analytics at Eli Lilly, responsible for leading the development and implementation of analytical products, championing AI-ready data, and managing the product lifecycle. The role involves collaborating with data engineering and business partners to drive data-driven decisions and ensure compliance. | Agent | 5 |
| Digital Automation Engineer —DeltaV Central Solutions and Transformation The Digital Automation Engineer will be part of the Corporate Engineering Technology Center, Global Process and Control Engineering (GPACE) team. This role will develop central automation solutions for API manufacturing facilities, including digital transformation tools and AI applications to eliminate manual work. The engineer will support DeltaV CLASS module library updates, develop digital strategies for DeltaV transformation tools and AI applications, and manage use cases for streamlining DeltaV delivery and CSV. The role requires a Bachelor's degree in engineering, 5+ years of experience in Process Automation with Emerson DeltaV, and experience in GMP environments. Programming experience with Python and experience with system integration are preferred. | — | 5 |
| Associate Director, Machine Learning Project Management, Lilly TuneLab Associate Director, Machine Learning Project Management for Lilly TuneLab, an AI/ML platform providing drug discovery models to biotech companies. The role focuses on project management leadership for model development, product release cycles, and external partnerships, aiming to scale the platform and facilitate collaborations. | Post-train | 5 |
| Marketing Cloud Technical Lead This role is for a Technical Lead to drive the development, implementation, and optimization of Marketing Cloud platforms at Eli Lilly, a global healthcare leader. The role involves technical leadership, team guidance, collaboration with marketing stakeholders, and ensuring robust, scalable solutions for customer engagement and global marketing initiatives. While the role encourages the use of AI tools, its core function is in marketing technology implementation and management, not AI model development. | — | 5 |
| Research Advisor - Computational Genomics This role focuses on building and maintaining production genomics infrastructure for RNA drug discovery, including data pipelines from raw sequencer output to DataLake ingestion. It also involves contributing to ML models that predict pharmacology outcomes based on sequence design and collaborating with enterprise AI teams to integrate AI/ML capabilities into RNA-specific tools. The role requires expertise in bioinformatics, high-throughput NGS data analysis, and programming, with exposure to AI/ML methods in biological sequence data. | DataPost-train | 5 |
| Senior Medical Director – Accelerated R&D Leadership Program This program is for physicians and scientists to develop into R&D leaders within a healthcare company, focusing on drug development. Participants will gain experience across various functions and are expected to leverage AI-powered tools and platforms to enhance decision-making, improve operational efficiency, and generate novel insights, including working with generative AI and predictive modeling. | — | 5 |
| Advisor - Data Architect, Data Foundry The Data Architect will design and build the data infrastructure for AI-native drug discovery, focusing on data modeling, lakehouse architecture, and knowledge graphs. This role transforms raw scientific data into machine-actionable assets for scientists and AI agents, supporting model training and RAG workflows. | DataAgent | 5 |
| Senior Director, Device Portfolio Insights Senior Director of Device Portfolio Insights at Eli Lilly, responsible for enterprise ownership of device portfolio strategy, investment prioritization, and long-range value creation. This role orchestrates cross-functional integration and drives portfolio decisions to maximize strategic and financial return, utilizing AI-enabled decision support and predictive analytics for forecasting, risk assessment, and opportunity identification. | — | 5 |
| Data Architect, Data Foundry Seeking Data Architects to design and build the data infrastructure for AI-native drug discovery. This involves creating schemas, ontologies, data models, and platform architectures to transform raw scientific data into machine-actionable assets for discovery scientists and autonomous AI agents. The role focuses on data modeling, data platform architecture, and knowledge graph systems, enabling AI-driven capabilities. | DataAgent | 5 |
| Manager - Validation Lead – Technical Support & Operations – Global Services Manager leading Computer System Validation (CSV)/Computer Software Assurance (CSA) activities for IT systems, with a focus on driving innovation by leveraging AI and automation to simplify and streamline validation processes. The role involves leading validation projects, reviewing AI-generated documents, and promoting risk-based approaches and continuous improvement. | — | 5 |
| Director/Sr Director Pharmacometrics Director/Sr Director Pharmacometrics role at Eli Lilly focused on advancing drug discovery and development through quantitative science, with a strong emphasis on integrating AI/ML and automation into modeling workflows. The role involves scientific and technical leadership, mentoring, and shaping PMx strategy across programs and the organization, including engagement with regulatory agencies. | Data | 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 |