PR&D – Technical Lead Architect – Semantic Layer & Agentic AI

Build and own the Semantic Layer and Knowledge Graph converting fragmented CMC data into a unified, ontology-driven foundation usable by humans and AI agents.

Lead the design, development, and operational management of multi-ontology frameworks, knowledge graph engineering, multi-modal data ingestion pipelines, and agentic AI architectures.

Partner with PR&D business and science stakeholders to translate scientific workflow needs into a technical roadmap, and provide hands-on technical leadership to data engineering teams ensuring compliance with regulatory standards.

Proven hands-on experience building and operating production knowledge graphs and semantic layers end-to-end, including ontology design and retrieval optimization.

Experience in designing and operating multi-agent AI architectures with observability, evaluation, and governance frameworks.

Work Experience Required: Not explicitly mentioned in the JD.

Familiarity with GxP-regulated environments or pharmaceutical/life sciences data systems; ability to communicate technical strategy to senior, non-technical stakeholders.

Technical leader who can simultaneously lead engineering teams and remain hands-on with architecture and implementation of semantic layers and knowledge graphs.

Experienced in operationalizing agentic AI with multi-agent orchestration and governance in regulated life sciences contexts.

Skilled at translating complex graph and retrieval trade-offs into business-relevant narratives for senior and executive stakeholders.