Agentic AI Engineering Lead

Eli Lilly and Company; Indianapolis (IN); On-site; USD 90,000 - 160,000; Full time

Job summary

An established industry player is seeking a passionate AI Engineer Lead to revolutionize drug discovery. In this pivotal role, you will develop innovative AI tools and scalable software solutions, collaborating with diverse teams to enhance research capabilities. Your expertise in programming languages, containerization, and systems engineering will be essential in driving impactful projects. This role offers a unique opportunity to contribute to life-changing medicines while working in a dynamic and supportive environment. If you're ready to lead and make a difference, this position is for you.

Qualifications

• 5+ years of experience in software architecture and engineering.
• Proficient in multiple programming languages and mentoring engineers.

Responsibilities

• Design and develop scalable software solutions with a hands-on approach.
• Lead engineering teams and ensure best practices in development.

Skills

Go

Rust

Java

C++

Python

JavaScript

Kubernetes

RESTful APIs

CI/CD

Systems Engineering

Education

Bachelor's Degree in Computer Science

Master’s Degree in Software Engineering

Tools

MLflow

PyTorch

TensorFlow

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 worldwide work to discover and bring life-changing medicines to those in need, improve understanding and management of disease, and give back through philanthropy and volunteerism. We dedicate ourselves to our work and prioritize people. We seek individuals determined to improve 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. You will design architecture, deploy scalable services, and develop innovative software leveraging LLMs to support researchers daily. This role demands deep technical expertise, guiding engineers to deliver complex, high-quality solutions. You will collaborate with 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, taking a hands-on approach.
2. Lead and mentor engineering teams, fostering best practices in design review, code reviews, testing, and CI/CD.
3. Build and maintain microservices architectures and APIs for seamless platform interoperability.
4. Implement containerization solutions, especially 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 proactive monitoring and improvements.
7. Drive adoption of modern engineering tools and practices to boost productivity and quality.
8. Troubleshoot and resolve complex technical issues efficiently.
9. Work with Principal Engineers on scaling, platform technologies, and technical decisions.
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 targets.
• Ability to mentor junior engineers and perform code reviews.
• Understanding of HTTP and RESTful APIs.
• Experience with test-driven development and CI/CD pipelines.
• Knowledge of systems engineering for distributed, high-throughput, high-availability systems.
• Experience with UML and software architecture/design tools.
• Background in refactoring, re-platforming, and prototyping.
• Familiarity with AI/ML frameworks like MLflow, PyTorch, TensorFlow.

Basic Requirements:

• Bachelor's or Master’s degree in Computer Science, IT, Software Engineering, or related fields.
• At least 5 years of hands-on experience in software architecture and engineering, delivering complex solutions.

Research Tech at Lilly combines science with technology to accelerate drug discovery and deliver innovative therapies. We leverage advanced analytics, data-driven approaches, and cutting-edge platforms to support scientific research and development.