Agentic AI Solutions, Associate Director
Eli Lilly and Company1 day ago
Indianapolis, IN, USAStaff+
Base Salary
$119k - $174k/yr
Responsibilities
- Identify and prioritize high-value sourcing and supply-chain opportunities for agentic AI, machine learning, and automation.
- Translate stakeholder needs into AI tools, technical designs, acceptance criteria, and delivery plans.
- Build and deploy AI-enabled applications, services, workflows, agents, and document-intelligence systems.
- Develop reusable agent skills, task harnesses, validators, run ledgers, reproducibility controls, and knowledge-extraction systems.
- Create evaluation, monitoring, guardrail, escalation, validation, and responsible-AI approaches for high-consequence decisions.
- Build the PRD Supply Chain Intelligence agent from feasibility through production pilot.
- Communicate model outputs, evidence, assumptions, limitations, uncertainty, and recommendations through decision-support outputs.
- Apply software engineering, MLOps, agent-ops, observability, testing, documentation, and cloud practices.
- Partner with ESCO, PRD Strategy, Procurement, functional leaders, and Tech@Lilly on enterprise data and platform alignment.
- Advance ESCO’s agentic AI roadmap, share reusable methods, and mentor team members and partners.
Requirements
- Master’s degree in computational/computer science, machine learning, artificial intelligence, engineering, or a closely related quantitative STEM field.
- At least 5 years of post-degree experience in a relevant computational, AI/ML, engineering, or quantitative field.
- At least 2 years of applied technical experience building AI or machine-learning solutions in Python, R, or a related programming language.
- At least 3 years of experience with strategic thinking, problem framing, and translating ambiguous business needs into AI, modeling, or automation workflows.
- Ability to communicate technical recommendations, assumptions, uncertainty, and limitations to sourcing, procurement, and business audiences.
- Preferred PhD and additional post-degree experience in a relevant field.
- Preferred experience applying AI/ML to pharmaceutical, life-sciences, supply-chain, or sourcing problems.
- Strong SQL, relational data modeling, cloud-platform, Git, container, CI/CD, experiment-tracking, and run-tracking experience preferred.
- Preferred experience with knowledge graphs, ontologies, structured knowledge representation, agent frameworks, orchestration, RAG, LLM engineering, evaluations, LLMOps, guardrails, and safety design.
- Preferred familiarity with pharmaceutical or regulated-industry supply chains and evidence of significant ML/AI/NLP publications, open-source work, or applied contributions.
Benefits
- Full-time employees may be eligible for a company bonus based on company and individual performance.
- Benefits may include a 401(k), pension, vacation, medical, dental, vision, prescription drug, flexible spending, life insurance, leave, well-being, employee assistance, fitness, and employee-club benefits.
- This is an onsite position in Indianapolis, Indiana at Lilly Technology Center-North, with 0–10% travel.
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.