Overview
On Site
Hybrid
Depends on Experience
Full Time
Skills
Product lifecycle management
C++
Cross-functional team
Natural language processing
Software development methodology
Solution delivery
Artificial intelligence
Software development
Machine Learning (ML)
Data Science
Data engineering
Cloud architecture
Product development
Strategic management
Deep learning
Generative Artificial Intelligence (AI)
Solution architecture
User experience
Software engineering
Programming languages
Strategic thinking
Leadership
Computer science
IT management
scikit-learn
Version control
Data manipulation
Text Classification
Named-Entity Recognition (NER)
Unsupervised learning
Decision trees
Logistic regression
Clinical trials
Human resources
Health care
Management
Pharmaceutics
IMPACT
Design
Testing
Collaboration
Data
Innovation
Software deployment
FOCUS
Scalability
Agile
Microsoft Excel
Lean methodology
Communication
Bridging
Python
Java
TensorFlow
PyTorch
Mathematics
Algorithms
R
JavaScript
Keras
Scrum
Git
Docker
Kubernetes
Continuous integration
Continuous delivery
Pandas
NumPy
SQL
NoSQL
Database
NLTK
SAP BASIS
Network
Chinese
Japanese
Job Details
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 capabilities to life!
The Digital Core Tech team is actively looking for an AI Solutions Delivery Engineer to lead technology teams building solutions that improve performance and reliability of processes and systems in pharma. 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 Lilly where you'll have the chance to create an impact on the lives of patients!
What You'll Be Doing
As an Artificial Intelligence Solutions Delivery Engineer, you will:
Lead Technical Products and Delivery: Lead multiple technical product teams across multiple disciplines such as software development, machine learning, data science, data engineering, cloud architecture, etc. to deliver end-to-end solutions that produce business value.
Design AI Solutions: Architect and design AI systems that are scalable, efficient, and impactful. You'll work at the intersection of technology and product development, turning innovative ideas into real-world applications.
Engineering Excellence: Develop high-quality, robust AI software that meets the needs of our users and stakeholders. Your role will involve coding, testing, and deploying AI models and systems that solve complex challenges.
Cross-functional Collaboration: Work closely with product managers, designers, data scientists, and other engineers to ensure the seamless integration of AI technologies into our products and services, creating solutions that are both innovative and user-centric.
Strategic Innovation: Lead the exploration and adoption of the latest AI technologies and methodologies. You'll stay ahead of industry trends and contribute to the strategic direction of our AI initiatives.
Product Lifecycle Management: Take ownership of the product lifecycle from conception through to deployment and beyond. You'll ensure that our AI solutions are scalable, maintainable, and aligned with business objectives.
How You'll Succeed
Technical Expertise in AI: Utilize your deep understanding of AI, machine learning, deep learning, NLP, and generative AI to design and build innovative solutions.
Solution Architecture: Demonstrate excellence in architecting AI solutions that address complex problems, with a focus on scalability, performance, and user experience.
Agile Development: Excel in a fast-paced, agile development environment, applying lean principles to streamline the delivery of AI capabilities.
Collaboration and Communication: Foster a collaborative environment and communicate effectively with team members and stakeholders, bridging the gap between technical and non-technical audiences.
Innovation and Continuous Learning: Keep abreast of the latest advancements in AI and software engineering, continually pushing the boundaries of what is possible.
What You Should Bring
Proven Experience: A track record of success in architecting and developing AI-driven solutions, with hands-on experience in machine learning, deep learning, NLP, and generative AI technologies.
Technical Proficiency: Strong coding skills in relevant programming languages (e.g., Python, Java, C++) and experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
Strategic Thinking: The ability to think strategically about the integration of AI into products and services, considering both current capabilities and future possibilities.
Leadership and Collaboration: Exceptional leadership skills with the ability to work collaboratively in a cross-functional team, driving projects to successful completion.
Curiosity and Innovation: A passion for technology and innovation, with a relentless drive to explore new ideas and continuously improve.
Your Basic Qualifications:
Additional Preferences:
Additional Information:
Tech at Lilly 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.
#IT
Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively "Lilly") are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. 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.
#WeAreLilly
Come shape the future of our industry by bringing Artificial Intelligence capabilities to life!
The Digital Core Tech team is actively looking for an AI Solutions Delivery Engineer to lead technology teams building solutions that improve performance and reliability of processes and systems in pharma. 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 Lilly where you'll have the chance to create an impact on the lives of patients!
What You'll Be Doing
As an Artificial Intelligence Solutions Delivery Engineer, you will:
Lead Technical Products and Delivery: Lead multiple technical product teams across multiple disciplines such as software development, machine learning, data science, data engineering, cloud architecture, etc. to deliver end-to-end solutions that produce business value.
Design AI Solutions: Architect and design AI systems that are scalable, efficient, and impactful. You'll work at the intersection of technology and product development, turning innovative ideas into real-world applications.
Engineering Excellence: Develop high-quality, robust AI software that meets the needs of our users and stakeholders. Your role will involve coding, testing, and deploying AI models and systems that solve complex challenges.
Cross-functional Collaboration: Work closely with product managers, designers, data scientists, and other engineers to ensure the seamless integration of AI technologies into our products and services, creating solutions that are both innovative and user-centric.
Strategic Innovation: Lead the exploration and adoption of the latest AI technologies and methodologies. You'll stay ahead of industry trends and contribute to the strategic direction of our AI initiatives.
Product Lifecycle Management: Take ownership of the product lifecycle from conception through to deployment and beyond. You'll ensure that our AI solutions are scalable, maintainable, and aligned with business objectives.
How You'll Succeed
Technical Expertise in AI: Utilize your deep understanding of AI, machine learning, deep learning, NLP, and generative AI to design and build innovative solutions.
Solution Architecture: Demonstrate excellence in architecting AI solutions that address complex problems, with a focus on scalability, performance, and user experience.
Agile Development: Excel in a fast-paced, agile development environment, applying lean principles to streamline the delivery of AI capabilities.
Collaboration and Communication: Foster a collaborative environment and communicate effectively with team members and stakeholders, bridging the gap between technical and non-technical audiences.
Innovation and Continuous Learning: Keep abreast of the latest advancements in AI and software engineering, continually pushing the boundaries of what is possible.
What You Should Bring
Proven Experience: A track record of success in architecting and developing AI-driven solutions, with hands-on experience in machine learning, deep learning, NLP, and generative AI technologies.
Technical Proficiency: Strong coding skills in relevant programming languages (e.g., Python, Java, C++) and experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
Strategic Thinking: The ability to think strategically about the integration of AI into products and services, considering both current capabilities and future possibilities.
Leadership and Collaboration: Exceptional leadership skills with the ability to work collaboratively in a cross-functional team, driving projects to successful completion.
Curiosity and Innovation: A passion for technology and innovation, with a relentless drive to explore new ideas and continuously improve.
Your Basic Qualifications:
- Bachelor's degree in computer science, engineering, mathematics, or a related field.
- 5+ years of technology leadership experience with expertise in industry standard methodologies.
- 2+ years of experience in working with AI technologies and tools, such as natural language processing (NLP), AI generation, machine learning algorithms, deep learning, etc.
Additional Preferences:
- Proficiency in programming languages such as Python, or other languages such as Java, R, C++, and JavaScript. Knowledge of related libraries and frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn.
- Understanding of software development methodologies (Agile, Scrum), version control systems (Git), containerization technologies (Docker, Kubernetes), and CI/CD pipelines.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and experience with SQL and NoSQL databases
- Knowledge of NLP techniques and tools focusing on text analysis and understanding such as sentiment analysis, text classification, entity recognition, and the use of libraries like NLTK, SpaCy, or Gensim
- Understanding of machine learning algorithms (supervised and unsupervised learning, neural networks, decision trees, logistic regression, etc.) and deep learning frameworks (such as TensorFlow, PyTorch)
- Deep understanding of and experience with advanced machine learning and deep learning techniques, particularly those related to generative models like GANs, autoencoders, and transformers. Knowledge of how to design, train, and optimize these models.
Additional Information:
- Position located in Indianapolis, Indiana working in a hybrid model.
- Travel may be required periodically.
- May be eligible for Relocation Benefits
Tech at Lilly 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.
#IT
Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively "Lilly") are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. 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.
#WeAreLilly