Principal AI/ML Engineer – Market Access
Eli Lilly and Company2 days ago
Indianapolis, IN, USAStaff+
Base Salary
$69k - $165k/yr
Responsibilities
- Build agent-to-agent orchestration frameworks, multi-agent workflow engines, tool and API integration layers, and secure connectivity to enterprise and partner systems.
- Develop employer data pipelines and analytics-ready platforms using data from employers, benefit administrators, and third-party partners.
- Productionize AI and ML capabilities for employer reporting, predictive analytics, benefit optimization, and decision support.
- Engineer end-to-end pipelines covering data capture, feature engineering, training, fine-tuning, inference, feedback, model and prompt versioning, experiment tracking, evaluation, and rollback.
- Implement scalable model serving, containerization, inference optimization, and deployment of large and specialized models.
- Build observability for AI systems, including agent tracing, cost and latency tracking, drift detection, and production evaluation.
- Implement HIPAA, PHI, PII, de-identification, auditability, and data-residency controls in a regulated environment.
- Create reusable horizontal infrastructure and partner with data scientists and business stakeholders to deliver reliable production systems.
- Manage and prioritize multiple projects and communicate with technical and non-technical stakeholders.
Requirements
- Master’s degree in Computer Science, Computer Engineering, Data Science, Statistics, Mathematics, or another quantitative or technical field plus 2 or more years of relevant production experience, or a bachelor’s degree in one of those fields plus 4 or more years of relevant production experience.
- Strong proficiency in Python and software-engineering practices including version control, testing, and code review.
- Experience building and deploying production data or ML systems, including scalable pipelines, model serving, fine-tuning, distillation, evaluation, and observability.
- Experience with agentic orchestration and multi-agent workflow frameworks such as LangGraph or LangChain, including tool and API integration.
- Experience with SQL and NoSQL data stores, distributed processing, vector databases, retrieval systems, AWS or Azure, Databricks, containers, Git, and CI/CD automation.
- Experience building secure, auditable systems and handling PHI, PII, and data-residency constraints.
- Experience integrating external partner data and services through APIs and secure data exchange.
- Understanding of U.S. employer healthcare, employer-sponsored benefits, benefit design, payers, PBMs, and access models is preferred; healthcare or pharma experience is a plus.
- Ability to deliver reliable systems in complex data domains and communicate with geographically dispersed business and technical colleagues.
- Must be authorized to work full-time in the United States.
Benefits
- Eligible full-time employees may receive a company bonus based partly on company and individual performance.
- Benefits may include a 401(k), pension, vacation, medical, dental, vision, prescription drug, flexible spending, life insurance, leave, employee assistance, fitness, and employee club benefits.
- Travel is expected to be 0–10%.
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.