AI Engineering Team Leader

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.

Come shape the future of our industry by bringing Artificial Intelligence solutions to Lilly and our patients!

AADS and AI at Lilly have recently combined to form Advanced Intelligence! Advanced Intelligence is actively looking for an AI Engineering Team Leader to lead a multidisciplinary engineering team and build solutions that improve performance and reliability of processes and systems in pharma. This technical leadership role is perfect for someone with a solid technical background in AI solutions and machine learning, aimed at delivering high-quality solutions rapidly and effectively. If you thrive in dynamic, fast-paced environments, and are skilled at leveraging AI to solve complex problems, then this is your opportunity to make significant impact. Are you passionate about artificial intelligence and the impact it can have across an entire industry? Are you a change agent who can influence organizations? If so, bring YOUR skills and talents to the Lilly team where you'll have the chance to create an impact on the lives of patients!

What You'll Be Doing:

Technical Delivery and Team Leadership: Lead and contribute to the design, development, and deployment of AI-infused software solutions, maintaining alignment with our company's vision and purpose. Manage and mentor a multidisciplinary team of AI engineers.

AI-Driven Development Strategy: Lead the strategic adoption of AI technologies within our model development frameworks, ensuring seamless integration and operational excellence. Introduce AI tools and algorithms that enhance automation in ML model testing, deployment, and infrastructure management.

Innovation in Automation and Processes: Utilize AI to streamline workflows, improve the CI/CD pipeline, and optimize cloud infrastructure management. Ensure our development practices incorporate the latest in AI advancements to enhance speed and quality.

Cross-functional Collaboration: Collaborate with product managers, software developers, and external partners to ensure that our delivery strategy integrates effectively across all phases of development and supports overarching business goals.

Quality Assurance and Performance Metrics: Implement robust testing frameworks and monitor system performance continuously. Use AI-driven analytics to anticipate problems and deliver solutions proactively.

Ethical AI Use and Compliance: Promote ethical practices in the use of AI within solution development, adhering to all regulatory and compliance guidelines, and ensuring the privacy and security of data across all platforms.

How You Will Succeed:

Analytical and Strategic Problem Solving: Employ critical thinking to navigate complex challenges, using knowledge of organizational needs and solid technical skills to deliver innovative solutions.

Technical Proficiency and Innovation: Drive different thinking and propose innovative solutions. Combine your knowledge of AI technologies with a robust understanding of machine learning to drive the development and optimization of our solutions.

Effective Communication: Articulate complex technical concepts clearly and persuasively to a diverse range of stakeholders, fostering understanding and strategic alignment.

Leadership and Team Building: Inspire and lead your team towards achieving technological excellence, promoting an environment of collaboration and continuous improvement.

Commitment to Learning: Continuously update your knowledge on the latest in AI, ensuring that our practices and tools remain at the forefront of technological advancements.

What You Should Bring:

Thought Leadership: Proven track record in leading cross-functional teams and driving complex large technical programs and projects to successful completion.

Background in AI and Machine Learning: Demonstrated experience in managing and integrating AI within software solutions across multiple environments. Understanding of machine learning, neural networks, and their practical applications in transformation, automation, and optimization.

Technical Skills: Prior experience in programming languages and technologies relevant to AI solutions and Machine Learning, such as Python, Ruby, and Java. Familiarity with AI frameworks (TensorFlow, PyTorch,) DevOps tools (Docker, Kubernetes, Jenkins,) and cloud environments such as Google Cloud, Azure, and AWS.

Strategic Vision and Tactical Execution: Ability to develop strategic visions for AI-powered products and models. Demonstrated experience following through on effective execution and implementation.

Ethical and Regulatory Knowledge: Commitment to ethical AI development and a strong understanding of compliance and security protocols in software development in regulated industries.

Your Basic Qualifications:

• Bachelor's degree in computer science, engineering, mathematics, or a related field.
• 5+ years of technology program and solution delivery leadership experience with expertise in industry standard methodologies.

Additional Preferences:

• 2+ years of experience in working with AI technologies and tools, such as natural language processing (NLP), generative AI (LLMs,) machine learning algorithms, deep learning, etc.
• Previous experience delivering large organizational change tied to technology implementations
• Previous direct technical employee leadership experience
• DevOps, DevSecOps, and ITIL certifications
• Scaled Agile, Agile, and Scrum certifications
• Cloud environment certifications in Google Cloud, Azure, and AWS
• Previous technical program leadership in regulated industries

Additional Information:

• Position located in Indianapolis, Indiana working in a hybrid model.
• Travel may be required periodically.

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 ( 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 proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, 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 are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.

Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$124,500 - $182,600

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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