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.
About the Role
We are seeking a highly skilled and innovative AI/ML Engineer with strong hands-on experience in Agentic AI, Machine Learning, and Cloud Platforms like AWS and Databricks. The ideal candidate will be proficient in building intelligent systems using agentic frameworks to deliver scalable, production-grade solutions such as chatbots and autonomous agents.
Key Responsibilities:
- Lead the design, development, and deployment of advanced machine learning models and algorithms for various applications.
- Build and optimize chatbots and autonomous agents using LLM endpoints and frameworks like LangChain, Semantic Kernel, or similar.
- Implement vector search using technologies such as FAISS, Weaviate, Pinecone, or Milvus for semantic retrieval and RAG (Retrieval-Augmented Generation).
- Collaborate with data engineers and product teams to integrate ML models into production systems.
- Monitor and maintain deployed models, ensuring performance, scalability, and reliability.
- Conduct experiments, A/B testing, and model evaluations to improve system accuracy and efficiency.
- Stay updated with the latest advancements in AI/ML, especially in agentic systems and generative AI.
Required Skills & Qualifications
- 5+ years of experience in Machine Learning, Deep Learning, and AI system design.
- Strong hands-on experience with Agentic AI frameworks and LLM APIs (e.g., OpenAI).
- Proficiency in Python and ML libraries like scikit-learn, XGBoost, etc.
- Experience with AWS services such as SageMaker, Lambda, S3, EC2, and IAM.
- Expertise in Databricks for collaborative data science and ML workflows.
- Solid understanding of vector databases and semantic search.
- Hands-on experience with MLOps including containerization (Docker, Kubernetes), CI/CD, and model monitoring along with tools like MLflow,
- Experience with RAG pipelines & LangChain.
- LLM orchestration, or agentic frameworks.
- Knowledge of data privacy
- Exposure to real-time inference systems and streaming data.
- Experience in regulated industries such as healthcare, biopharma
- Proven ability to scale AI teams and lead complex AI projects in high-growth environments
We are also looking for the candidate to demonstrate:
- Cross-Functional Collaboration
- Stakeholder Communication & Influence
- Project Management & Agile Practices
- Mentorship & Team Leadership
- Strategic Thinking & Product Mindset
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 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.
#WeAreLilly
