Advisor – Software Engineering, Evidence Intelligence

About the role

Lilly Evidence Intelligence is a new function that delivers non-promotional and validated Lilly clinical evidence directly to the AI platforms healthcare providers increasingly rely on. The goal is to ensure that the responses healthcare providers receive reflect the most current, verified evidence available, at the speed clinical practice requires. Lilly is seeking an Advisor, Software Engineering in Evidence Intelligence to build and maintain the technical infrastructure that delivers Lilly's clinical evidence to Frontier AI platforms — converting evidence into platform-ready formats and enforcing the technical standards that keep the evidence corpus current and trustworthy.

Responsibilities

• Build and maintain ingestion pipelines that parse Lilly clinical evidence into structured formats for large language model retrieval.
• Design, build and maintain the API and storage layer that stores Lilly clinical evidence and serves it through pre-defined structured requests.
• Configure and maintain the server and tool-call integrations that connect this infrastructure to partner AI platforms.
• Implement authentication, per-partner access controls, and audit logging across the delivery surfaces.
• Monitor pipeline and platform health, and resolve data integrity, latency or availability issues affecting the evidence feed to AI platforms.
• Collaborate with cross-functional teams, including scientists, researchers, and business stakeholders.

Requirements

• Bachelor's degree in computer science, software engineering, or a related technical field.
• 5 years of professional software engineering experience.
• 3 years building and operating cloud-based data infrastructure.

Skills

• Masters degree in computer science, software engineering or a related technical field.
• Experience building tool-calling or connector integrations between backend infrastructure and LLM platforms, such as Model Context Protocol servers, function calling, or plugin frameworks.
• Proficiency in programming languages such Python and SQL.
• Hands-on experience building and maintaining data pipelines, including ingestion, transformation, and structured output.
• Experience designing and building APIs (REST or equivalent) that serve structured data at scale.
• Hands-on experience implementing a Model Context Protocol server.
• Experience implementing retrieval-augmented generation (RAG) pipelines or working within LLM-adjacent technical frameworks.
• Experience with JavaScript or TypeScript and modern web frameworks.
• Experience working in life sciences or another regulated industry, including hands-on work with healthcare or clinical data structures, regulatory submissions, or trial datasets.

Pay

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $144,000 - $231,000. Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance).

Benefits

Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities). Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.