> Markdown version of [/jobs/ext/2279303-systems-engineer-p2-p4](https://www.wearedevelopers.com/jobs/ext/2279303-systems-engineer-p2-p4). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Systems Engineer (P2-P4) - **Company:** Eli Lilly and Company - **Location:** Indianapolis, IN, United States (Remote available) - **Salary:** $112,507.0 - $129,383.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Systems Engineering, Information Systems, NoSQL, NumPy, Tensorflow, SQL Databases, Data Processing, Pytorch, Pandas, Scikit Learn, Information Technology - **Published:** August 28, 2026 - **Apply:** https://www.biospace.com/logon?PipelinedPage=%2Fjob%2F3070523%2Fsystems-engineer-p2-p4-%3FAction%3DContinueJobApplication%23application-form ## About the Role Position requires a Master's degree in Information Systems, Computer Science, Data Science, Systems Engineering, or a closely related STEM field, and 1 year of experience with leading AI- or ML-enabled solutions from concept through launch. Experience must include a minimum of: 1 year of experience with translating business requirements into technical deliverables; 1 year of experience with ML frameworks (including TensorFlow, PyTorch, and scikit-learn) and data manipulation libraries (including Pandas and NumPy); and 1 year of experience with SQL and NoSQL databases. Part-time telecommuting permitted. Up to 10% domestic and international travel required. #LI-DNI ## Description Eli Lilly and Company seeks a Systems Engineer (P2-P4) to develop and implement AI-enabled solutions for patient support systems. Guide AI solution design and delivery, ensuring scalability, security, and compliance. Collaborate with multi-functional teams to identify opportunities for AI-driven improvements. Utilize cloud platforms, including Amazon Web Services (AWS), to deliver secure solutions. #LI-DNI ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)