Senior Software Engineer - Context and Semantics (AI)
Core
Building the semantic layers, knowledge graphs, and query federation engines that ground Workday's AI agents in real-world HR and Finance data.
Role type
Senior Software Engineer (AI Infrastructure & RAG)
Builds
Enterprise-grade RAG pipelines, vector search infrastructure, and distributed query execution layers for AI agents.
Domain
Enterprise AI, Knowledge Graphs, Distributed Data Systems
Deliverable
production ML models
Required skills
Backend architecture, Distributed systems, Java/Python/Scala/Go, RAG pipelines, Vector search, Query federation, LLM orchestration, Security & RBAC, Microservices
Preferred skills
Workday platform experience, Enterprise SaaS architectures, Distributed SQL query engines
Technologies
Trino, LDQ, Pinecone, Milvus, Elasticsearch, LlamaIndex, LangChain, GraphRAG, gRPC
Responsibilities
Architect and deploy backend services and data pipelines for the semantic context layer; Design and optimize RAG pipelines with embedding generation and vector database integration; Build distributed query execution layers to route LLM requests across transactional and analytical stores; Develop dynamic context and memory management workflows for multi-turn agentic reasoning; Embed data privacy and RBAC into retrieval layers; Optimize system architectures for low-latency retrieval and high-throughput interactions; Mentor engineers and lead design reviews.
Seniority
Senior, hands-on IC with technical leadership
