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 around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location.  The anticipated wage for this position is

Catalyze360 AI Platform is launched as a cutting-edge AI Platform designed to enable privacy-preserving model development, deployment, and collaboration between Lilly and external BioTech partners. This platform will empower companies to jointly train AI/ML models while safeguarding sensitive data, addressing key pre-competitive R&D challenges. By fostering secure and collaborative innovation, we aim to significantly enhance predictive R&D capabilities, driving breakthroughs that benefit all participants in their internal workflows.

What You'll Be Doing:

As the Lead Platform Engineer, you will lead the design, development, and deployment of a large-scale IT ecosystem that will drive innovation in pharmaceutical R&D. You will be hands-on in creating robust technical architectures, developing scalable solutions, and ensuring seamless system integration. This role requires deep technical expertise, guiding a team of engineers to deliver complex, high-quality software solutions. You will collaborate closely with partners from R&D, AI, and Business Development to accelerate medicine discovery and development for Lilly and Lilly’s biotech partners.

How You'll Succeed:

• Design and develop robust, scalable, and secure software solutions with a hands-on approach.
• Lead and mentor a team of engineers, fostering best practices in software development, code reviews, and continuous integration/continuous deployment (CI/CD).
• Build and maintain microservices architectures and APIs, ensuring seamless interoperability and data flow across platforms.
• Implement containerization solutions, particularly using Kubernetes, to support deployment and scaling needs.
• Collaborate with diverse technical teams, including R&D, Data Science, IT Operations, and AI/ML teams, to translate business requirements into technical solutions.
• Ensure optimal system performance, reliability, and security through proactive monitoring and continuous improvement.
• Drive the adoption of modern engineering practices, tools, and technologies to enhance productivity and software quality.
• Troubleshoot complex technical issues and provide hands-on support to resolve them efficiently.
• Design, implement, and maintain AI/ML Ops pipelines to support model development, deployment, monitoring, and management.
• Ensure robust integration of AI/ML models into production environments, focusing on scalability, performance, and reliability.

What You Should Bring:

• 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 and exposure to languages such as Golang, Rust
• Experience applying systems engineering concepts to complex distributed systems with high throughput & availability requirements.
• Experience with architecture and software design tools such as UML for system modeling and design.
• 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 containarized workloads in the cloud, particularly with Kubernetes.
• Experience designing & implementing user experiences which use AI/ML to drive insights & business value
• In-depth knowledge of AI/ML practices, including experience with model deployment, monitoring, and lifecycle management.
• Experience with tools and frameworks for AI/ML such as MLflow, pytorch, tensorflow, or similar frameworks/tools.
• Strong problem-solving skills with the ability to address complex technical challenges effectively.
• Excellent verbal and written communication skills, capable of articulating technical concepts to both technical and non-technical audiences.
• Experience in the pharmaceutical or life sciences industry is highly preferred.

Your Basic Qualifications:

• 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, with a proven track record of delivering complex, cross-functional IT solutions.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups.

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

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