
Sr Principal Data, Analytics & AI Engineer
Eli Lilly and Company1 day ago
Indianapolis, IN, USAStaff+
Base Salary
$134k - $224k/yr
Responsibilities
- Own the technical architecture and end-to-end delivery of agentic AI and data modernization solutions for global supply chain and manufacturing operations.
- Set reusable standards and patterns for cloud data modeling, data pipelines, agent orchestration, evaluation, and production support.
- Mentor junior and mid-level engineers and lead code and design reviews.
- Partner with business stakeholders and IT leadership on roadmaps, delivery sequencing, build-versus-buy decisions, and vendor accountability.
- Translate SAP, SHARP, MES, historian, planning, quality, and other operational data into trusted integrated data models.
- Design, build, and deploy AI agents and multi-agent workflows using prompt engineering, tool and function calling, agent orchestration, and retrieval-augmented generation.
- Implement and deploy machine learning and predictive models with attention to performance, scalability, and interpretability.
- Define agent testing, evaluation, monitoring, observability, feedback loops, and safety guardrails.
- Build and maintain scalable ETL/ELT pipelines and modernize legacy reporting and data assets onto cloud and lakehouse architectures.
- Monitor and troubleshoot data quality and agent behavior, maintain technical documentation, and support GxP/CSV, privacy, security, and responsible AI requirements.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, Statistics, Supply Chain, or a related field and 8+ years of experience in data engineering, analytics, or AI/ML, including hands-on production generative AI or agentic application delivery.
- Hands-on experience with supply chain and manufacturing data, SAP S/4HANA or ECC, SAP BW/4HANA, SHARP, MES, and related analytics.
- Advanced experience with statistical methods, machine learning, LLM and agentic application development, prompt engineering, tool or function calling, retrieval-augmented generation, vector search, embeddings, and multi-step workflows.
- Deep knowledge of agent frameworks such as LangChain or LangGraph and production LLM APIs such as OpenAI, Azure OpenAI, Anthropic, or Bedrock.
- Experience with Azure, AWS, or Databricks and advanced Python; SQL, Java, Scala, and R are additional qualifications.
- Experience developing production-grade analytics systems end to end.
- Preferred qualifications include a master’s degree with 5+ years of relevant experience, regulated manufacturing or pharmaceutical supply chain experience, production AI solution delivery, supply chain planning software experience, IoT or streaming data experience, GxP/CSV validation experience, Power BI experience, responsible AI knowledge, global team or vendor leadership, and Databricks, AWS, or Azure certifications.
Benefits
- Full-time position located in Indianapolis, Indiana, requiring five days per week onsite.
- Eligible employees may participate in company bonus, 401(k), pension, vacation, medical, dental, vision, prescription drug, flexible spending, life insurance, leave, wellness, fitness, employee assistance, and employee club benefits.
Categories
About Eli Lilly and Company
Eli Lilly and Company researches, develops, manufactures, and markets prescription medicines and biologics for patients, sold through healthcare providers, pharmacies, and payers. Core therapeutic areas include diabetes, oncology, immunology, neuroscience, and obesity. Founded in 1876 and headquartered in Indianapolis, it is a public company (NYSE: LLY) with global operations and is building a new advanced manufacturing site for gene therapy and other modalities in Lebanon, Indiana.