AI Architect/Systems Engineer - Clinical Tech Transformation

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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 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.

Artificial Intelligence- Proactive, Predictive, Powerful!

Are you passionate about influencing and delivering technical software and data architectures, defining machine learning approaches and models, building re-usable code accelerators, establishing standard processes, and collaborating with data scientists? If so, bring YOUR skills and talents to Lilly where you'll have the chance to create an impact on the lives of patients!

What You'll Be Doing:

As an AI Architect, you will influence the adoption, maturation, and strategic direction of machine learning and artificial intelligence to improve efficiency and drive transformation for the Lilly enterprise. You will work closely with multi-functional teams to understand business problems and processes, operating systems, and various application architectures to design AI solutions.

How You'll Succeed:

• Be an expert source on machine learning to drive delivery of new and innovative solutions

• Propose creative solutions to approach business solutions with emerging technologies

• Prototype new ways of applying technologies for solving business problems

• Educate others so that they can demonstrate the innovative methods for achieving outcomes

• Build and maintain machine learning principles, standard methodologies, and code accelerators

• Conduct external research and internal experimentation for machine learning techniques

• Champion solution delivery behaviors and approaches from software engineers that accelerate delivery of reliable solutions and create a culture of teamwork

• Analyze and communicate strategy, status, and product roadmaps to multiple audiences, including all levels of management

What You Should Bring:

• Demonstrated proficiency in machine learning algorithms such as multi-class classifications, decision trees, support vector machines, and deep learning

• Proficiency with analysis, modeling, and interpretation of common and complex data structures, including query development

• Depth in Natural Language Processing (NLP), Foundation Models (FMs), and modern Large Language Models (LLMs)

• Solid grasp of probability and statistical models (generative and descriptive models)

• Advanced programming skills with C/C++, Python, Java, or R

• In-depth technical knowledge of cloud-native machine learning services (e.g. AWS SageMaker, Kendra, Neptune ML, etc.) and frameworks (PyTorch, TensorFlow, etc.)

• Experience in MLOps-enabled cloud environments

• Effective teamwork skills; work with team dynamic strengths and different viewpoints demonstrating the ability to influence peers

• Demonstrated application of agile methodology in design and delivery of solutions

• Familiarity with pharmaceutical development and the expanding role of technology in the industry

• Ability to lead and achieve results through others while also being an individual technical contributor

• Demonstrated broad and deep technology learning agility

• Prior experience working in a clinical/research setting

Your Basic Qualifications:

• Bachelor's Degree in Computer Science, Data Science, or a related field; Master's Degree preferred

• 5+ years of professional and/or postgraduate academic research experience in software engineering

• 2+ year of experience designing and developing machine learning solutions

• 1+ years of experience with cloud native engineering, AWS preferred

Additional Information:

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

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 ( ) 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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