Principal AI/ML Engineer – Data Analytics & AI
Eli Lilly and Company3 days ago
Indianapolis, IN, USAStaff+
Base Salary
$69k - $165k/yr
Responsibilities
- Build and operationalize agentic AI platforms, including multi-agent orchestration, workflow engines, tool and API integrations, and secure connectivity to enterprise and partner systems.
- Build scalable data pipelines that ingest enterprise, vendor, and third-party partner data into secure, analytics-ready platforms.
- Develop and productionize predictive models, LLM-powered solutions, reporting, decision-support, and process-optimization capabilities.
- Engineer end-to-end ML pipelines covering data capture, feature engineering, training, fine-tuning, inference, feedback, evaluation, and rollback.
- Establish ML engineering foundations such as model and prompt versioning, registries, experiment tracking, and automated evaluation.
- Deploy scalable model-serving infrastructure using containerization, inference optimization, and in-house hosting for large and specialized models.
- Build observability and monitoring for AI systems, including workflow tracing, cost and latency tracking, drift detection, and production evaluation.
- Implement privacy, governance, auditability, data-residency, PHI, PII, de-identification, and regulatory-compliance controls.
- Design reusable horizontal engineering capabilities and shared infrastructure for multiple teams and business use cases.
- Partner with data scientists, technical product managers, business users, field teams, and external partners to deliver adopted, maintainable solutions.
- Manage and prioritize multiple projects while communicating with technical and non-technical stakeholders.
Requirements
- Master’s degree in Computer Science, Computer Engineering, Data Science, or a related quantitative or technical field plus at least 1 year of professional experience implementing technical systems, or a bachelor’s degree in one of those fields plus at least 3 years of such experience.
- Authorization to work full-time in the United States without employer support or sponsorship for work authorization or visas.
- Strong proficiency in Python and software-engineering practices including version control, testing, and code review.
- Experience taking ML or data solutions from concept through production deployment and business adoption.
- Experience with model and prompt versioning, registries, experiment tracking, model CI/CD, automated evaluation, observability, scalable model serving, containerization, inference optimization, fine-tuning, and distillation.
- Experience engineering agent-to-agent orchestration and multi-agent workflow frameworks, including tool and API integration and secure agent connectivity.
- Experience building scalable data pipelines and using SQL and NoSQL data stores, distributed processing, vector databases, and retrieval systems.
- Experience with AWS or Azure, Databricks, containers, Git, and CI/CD automation.
- Experience building secure and auditable systems, handling PHI and PII, and addressing data-residency constraints.
- Experience integrating external partner data and services through APIs and secure data exchange.
- Familiarity with the U.S. healthcare and pharmaceutical landscape or the ability to ramp quickly in a complex regulated domain.
- Ability to deliver reliable systems in complex data domains and communicate effectively with geographically dispersed technical and business colleagues.
Benefits
- Full-time employees are eligible for a company bonus based partly on company and individual performance.
- Benefits may include a 401(k), pension, vacation, medical, dental, vision and prescription drug coverage, flexible spending accounts, life insurance, leave benefits, employee assistance, fitness benefits, and employee clubs and activities.
- The position requires 0–10% travel.
- The employer states that it will not provide support for or sponsor work authorization or visas for this role.
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.