PR&D – Technical Lead Architect – Semantic Layer & Agentic AI
Eli Lilly and CompanyMatch Score
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Job Description
Structured overview of role & requirementsAbout This Role
Own and build the Semantic Layer and Knowledge Graph for PR&D, converting fragmented CMC data into a unified, ontology-driven foundation accessible to humans and AI agents.
Lead the design and deployment of multi-agent AI architectures enabling efficient, accurate scientific knowledge retrieval and workflows, including agent orchestration and governance.
Provide hands-on technical leadership and deliver roadmap ownership, partnering with business and science stakeholders to ensure the Semantic Layer maximizes value, reuse, and regulatory compliance.
Minimum Requirements
Proven hands-on experience building production knowledge graphs and complex semantic layers end-to-end, spanning structured and unstructured data.
Demonstrated expertise operating multi-agent AI systems in production with evaluation, observability, and governance tooling.
Experience leading technical teams with direct implementation involvement and collaborating closely with senior business and science stakeholders to define roadmaps.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Deep expertise combining knowledge graph engineering, ontology design, multi-modal data ingestion, and agentic AI within regulated environments such as pharma CMC or life sciences.
Strategic ability to translate technical decisions around graph and retrieval systems into tangible business outcomes for senior, non-technical audiences.
Operational style blends hands-on technical leadership with building reusable architecture patterns and mentoring engineers without formal people management responsibilities.