Agentic AI Engineering Lead

Eli Lilly and Company; Indianapolis (IN); On-site; USD 90,000 - 150,000; Full time

Job summary

An innovative healthcare leader seeks a Lilly Agentic AI Engineer Lead to develop cutting-edge AI tools that enhance drug discovery. In this pivotal role, you will design robust software solutions, mentor engineering teams, and collaborate with diverse departments to translate complex requirements into effective technical solutions. This position offers the opportunity to work with advanced technologies, ensuring the reliability and security of systems while promoting modern engineering practices. Join a passionate team dedicated to improving lives through groundbreaking medical advancements.

Benefits

Health insurance

Retirement plans

Flexible working hours

Professional development opportunities

Employee wellness programs

Qualifications

• 5+ years of experience in software architecture and engineering.
• Proficiency in OOP languages and scripting languages.

Responsibilities

• Design and develop scalable software solutions.
• Lead and mentor engineering teams in best practices.
• Collaborate with R&D and AI/ML teams for technical solutions.

Skills

Go

Rust

Java

C++

Python

JavaScript

Kubernetes

CI/CD

HTTP and RESTful APIs

AI/ML frameworks (MLflow, PyTorch, TensorFlow)

Education

Bachelor's degree in Computer Science

Master’s degree in Software Engineering

Tools

UML

Containerization tools

Microservices architecture

Job description

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees work to discover and bring life-changing medicines to those in need, improve disease management, and give back to communities through philanthropy and volunteerism. We prioritize our work and put people first. We seek individuals committed to improving lives globally.

Role: Lilly Agentic AI Engineer Lead

As a Lilly Agentic AI Engineer Lead, you will develop cutting-edge AI tools with a passionate team to accelerate Lilly’s drug discovery process. Your responsibilities include designing architecture, deploying scalable services/integrations, and developing software leveraging LLMs to assist researchers. This role demands deep technical expertise, guiding engineers to deliver high-quality solutions, and collaborating with teams across Lilly Research Labs, AI, Software Engineering, and external partners to advance medicine discovery.

How You'll Succeed:

1. Design and develop robust, scalable, and secure software solutions.
2. Lead and mentor engineering teams, fostering best practices such as code reviews, testing, and CI/CD.
3. Build and maintain microservices architectures and APIs for seamless data flow.
4. Implement containerization, especially with Kubernetes, for deployment and scaling.
5. Collaborate across R&D, Data Science, IT, and AI/ML teams to translate requirements into technical solutions.
6. Ensure system performance, reliability, and security through monitoring and improvements.
7. Promote modern engineering practices and tools to enhance productivity and quality.
8. Troubleshoot complex technical issues and provide hands-on support.
9. Work with Principal Engineers on technical decisions related to scale and platform technologies.
10. Monitor operational metrics and ensure effective AI/ML model integration into production environments.

What You Should Bring:

• Proficiency in Go, Rust, Java, C++, or other OOP languages.
• Experience with scripting languages like Python or JavaScript.
• Knowledge of Containers, Serverless, Kubernetes, and hosting environments.
• Ability to mentor junior engineers and conduct code reviews.
• Understanding of HTTP and RESTful APIs.
• Experience with test-driven development and CI/CD pipelines.
• Background in systems engineering for distributed, high-throughput systems.
• Experience with architecture modeling tools like UML.
• Experience in refactoring and re-platforming applications.
• Ability to build prototypes and conduct various testing methods.
• Knowledge of algorithms for scalable execution.
• Experience with AI/ML frameworks such as MLflow, PyTorch, TensorFlow is preferred.

Basic Requirements:

• Bachelor's or Master’s degree in Computer Science, IT, Software Engineering, or related.
• 5+ years of experience in software architecture and engineering, with a proven record of delivering complex solutions.

Additional information about Lilly’s mission, diversity initiatives, compensation, and benefits is included, emphasizing our commitment to innovation, diversity, and employee well-being.