AI Platform Lead System Engineer

February 28

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Eli Lilly and Company

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We're a medicine company turning science into healing to make life better for people around the world. It all started nearly 150 years ago with a clear vision from founder Colonel Eli Lilly: "Take what you find here and make it better and better." Harnessing the power of biotechnology, chemistry and genetic medicine, our scientists are urgently advancing science to solve some of the world's most significant health challenges.

Pharmaceutical Development • Pharmaceuticals • Biotech • Biopharmaceuticals

10,000+ employees

📋 Description

• Lead the design, development, and deployment of a large-scale IT ecosystem • Create robust technical architectures and develop scalable solutions • Mentor and guide a team of engineers for high-quality software solutions • Collaborate with partners from R&D, AI, and Business Development for acceleration of medicine discovery • Implement containerization solutions using Kubernetes for deployment and scaling • Drive the adoption of modern engineering practices and troubleshoot complex technical issues • Design, implement, and maintain AI/ML Ops pipelines for model management

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field • 10+ years of hands-on experience in architecture, system integration / engineering, and software engineering • Strong leadership skills with the ability to guide, mentor, and inspire engineering teams • Significant experience in software development technologies including Python, Node.js, and React • Experience applying systems engineering concepts to complex distributed systems with high throughput & availability requirements • Strong API design skills with practical experience using API management tools like Swagger/OpenAPI and Postman • Proficiency in cloud platforms (AWS, Azure, or GCP) and deploying containerized workloads in the cloud, particularly with Kubernetes • In-depth knowledge of AI/ML practices, including experience with model deployment, monitoring, and lifecycle management

🏖️ Benefits

• Company bonus (depending on performance) • Eligibility for medical, dental, vision and prescription drug benefits • 401(k) and pension plans • Vacation benefits • Flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts) • Life insurance and death benefits • Employee assistance program • Fitness benefits • Employee clubs and activities