Artificial Intelligence Full Stack Engineer

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.

Help lead the transformation of clinical research through the application of industry first Artificial Intelligence capabilities!

LRL Tech@Lilly is looking for an Artificial Intelligence Full Stack Engineer for a large scale, multi-year transformation effort that will be reimagining how clinical trials are performed using AI and automation. This role is ideal for a person with a passion for applying innovative AI and automation methodologies and bring them to life in solutions that solve complex, real-world problems.

Are you enthusiastic about artificial intelligence and the impact it can have across an entire industry? If so, bring YOUR skills and talents to Lilly where you will have the chance to create an impact on the lives of patients!

AI and Automation Leadership: Develop and apply innovative AI techniques to solve complex business challenges, creating tailored solutions that drive strategic value and transform clinical research processes.

Full Stack Development: Create and implement AI-driven applications across the full stack, from backend services to frontend interfaces.

System Architecture and Design: Design and uphold resilient system architectures to guarantee optimal performance, scalability, and security across all platforms

Establish Technical Vision and Direction: Set and communicate a clear technical vision and strategic direction for solution delivery teams, guiding the development and execution of AI projects to enable organizational goals and long-term objectives.

Cross-Disciplinary and Organization Collaboration: Effectively engage with colleagues to gather innovative ideas and insights, fostering a collaborative environment that inspires and motivates team members to innovate and explore creative solutions in AI development.

Ethics and Compliance in Development: Adhere to ethical guidelines in AI usage and data handling, ensuring compliance with all relevant regulations and maintaining the highest standards of data privacy and security.

• Apply your creative and technical skills to develop solutions that integrate AI and full-stack components that address complex challenges and improving application functionality.

• Combine your knowledge modern cloud native application technologies and AI to create high-quality, innovative software solutions.

• Communicate complex technical details and project updates effectively across different teams, facilitating clear understanding and cooperative project management.

• Remain adaptable and proactive in learning new technologies and techniques in AI and full-stack development to keep up with industry trends and advancements.

• Lead projects and collaborate with teams to deliver comprehensive solutions that align with business goals and user needs.

• 5+ years of experience in clinical drug development with expertise in related processes, technologies, and information flows.

• Demonstrated experience with common AI frameworks and technologies (i.e. TensorFlow, PyTorch, LLMs, LangChain, Azure Open AI, and Bedrock).

• Validated experience with front-end technologies (i.e. HTML, CSS, JavaScript) and frameworks like React or Angular.

• Proficient in back-end programming languages such as Python, Node.js, or Java.

• Familiarity with database technologies, both SQL and NoSQL.

• Experience integrating machine learning models, NLP, and AI technologies into practical applications.

• Understanding of RESTful API design and Development, microservices architecture, and scalable system engineering.

• Experience in developing and maintaining CI/CD pipelines for application deployment.

• A commitment to ethical AI practices and robust security protocols to safeguard application data and user privacy.

• Demonstrated experience influencing internal and external stakeholders.

• Strong problem-solving skills with the ability to work cross-functionally in a diverse team environment.

• Capability to lead projects or mentor junior developers.

• Experience in a regulated industry, such as financial services or healthcare, where understanding of compliance regarding data security and privacy is essential.

• Commitment to ongoing personal and professional growth in the dynamic fields of AI and full-stack development.

Basic Requirements:

• Bachelor’s degree in computer science or related scientific field.

• 3 years in a senior-level solutions architecture role, with a focus on data products and AI transformation projects.

• 3 years experience developing and implementing AI and machine learning solutions.

• 6 years experience leading full stack / multi-disciplinary software development teams (e.g., UI/UX, data, backend/API, system integration)

• Previous experience working with AWS, Azure AI, or other ML cloud services.

Additional Information:

• Position located in Indianapolis, Indiana working in a hybrid model.

• Travel may be required periodically.

Organization Overview

Lilly IT builds and maintains capabilities using cutting edge technologies like most prominent tech companies. What differentiates Lilly IT is that we redefine what’s possible through tech to advance our purpose – creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver innovative solutions in every area of our business.

Research Tech unites science with technology to accelerate the Research and Development of medicines and to deliver therapeutic innovations. The team leverages technology and platforms to streamline scientific experimentation to help Researchers follow the science, to understand the disease and identify potential therapies. They are at the forefront of advanced analytics to enable data driven drug discovery, to innovate so Scientists can rapidly analyze and accelerate the discovery of new medicines.

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.

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