9 дней назад
Senior Director, Context and Semantics Engineering (AI)
281 600 - 422 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Director, Context and Semantics Engineering (AI) (AI/RAG/Semantic Search): Building and scaling the intelligence layer for Workday’s enterprise AI Agents with an accent on semantic engines, knowledge graphs, vector search, and governed access to HR and Finance data. Focus on leading a 50+ engineer organization, designing production-grade RAG and context-management infrastructure, and solving security, scalability, and reliability challenges for agentic workflows.
Location: Pleasanton, California, USA; hybrid work with at least 50% of each quarter spent in the office or in the field
Annual base salary: $281,600–$422,400 USD for the primary location; additional US locations: $231,800–$422,400 USD
Company
is a Fortune 500 company providing an AI platform for managing people, money, and enterprise workflows.
What you will do
- Build, scale, and mentor an engineering organization focused on AI context, semantic architecture, and data orchestration.
- Define the technical roadmap for semantic layers, vector databases, knowledge graphs, enterprise ontologies, and semantic search.
- Lead enterprise-grade RAG pipelines that ground language models in accurate, real-time, tenant-isolated HR and Finance data.
- Drive engineering for agentic memory, state management, and conversational context across complex, multi-turn workflows.
- Partner with executive stakeholders across AI/ML Engineering, Product Management, and Platform Architecture.
- Enforce privacy, RBAC, compliance, reliability, and scalability standards for governed enterprise AI.
Requirements
- 10+ years of progressive software engineering experience in distributed systems, search architectures, data platforms, or AI infrastructure.
- 5+ years of senior engineering leadership experience at Director level or above, including managing managers and organizations of 50+ engineers.
- 3+ years leading teams building AI/ML infrastructure, semantic search engines, LLM orchestration layers, vector databases, or knowledge graphs.
- Strong architectural experience with RAG, embedding generation, chunking strategies, semantic routing, ontologies, and enterprise-scale retrieval systems.
- Experience with regulated Finance or HR data environments, AI guardrails, data privacy, and role-based access control.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
Nice to have
- Experience with Elasticsearch, Pinecone, Milvus, Neo4j, GraphRAG, LlamaIndex, or LangChain.
- Experience with the platform and architecture.
- Ph.D. in a relevant field.
Culture & Benefits
- Flexible hybrid work combining office, field, and remote home-office arrangements.
- Opportunity to build ’s next-generation AI Agent platform at enterprise scale.
- Potential eligibility for a bonus or commission plan and annual refresh stock grants.
- Support for professional growth, development, reasonable accommodations, and inclusive employment.
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