Senior Director, Context and Semantics Engineering (AI)
Core
Lead the engineering organization building semantic layers, knowledge graphs, and dynamic context engines to ground Workday's AI agents in real-world HR and Finance data.
Role type
Senior Director, AI Infrastructure & Semantic Engineering
Builds
Scalable semantic engines, RAG pipelines, vector search infrastructure, and agentic memory systems
Domain
Enterprise AI, Data Architecture, HR & Finance
Deliverable
production ML models | infrastructure
Required skills
Distributed systems, semantic search architectures, LLM orchestration, vector databases, knowledge graphs, enterprise ontologies, RAG pipeline design, data privacy & RBAC, scaling engineering organizations
Preferred skills
Workday platform architecture, GraphRAG, advanced embedding models, highly regulated data environments
Technologies
Elasticsearch, Pinecone, Milvus, Neo4j, LlamaIndex, LangChain
Responsibilities
Build and mentor a world-class engineering organization; Define technical roadmap for semantic layer and vector search; Lead development of enterprise-grade RAG pipelines; Collaborate with C-level stakeholders on AI Agent Factory integration; Drive engineering design for agentic memory and state management; Enforce data privacy and compliance standards; Evaluate and integrate cutting-edge AI data technologies
Seniority
Senior, hands-on IC with executive leadership