Senior AI Knowledge Architect – Enterprise Data & Retrieval

EY; Irvine (CA); Híbrido; USD 144 000 - 374 000; Tempo integral

Resumo da oferta

EY is seeking a senior architecture leader to shape knowledge, retrieval, and grounding capabilities for AI products and agents across the firm. You will design federated organizational memory, ensure provenance, and collaborate with security, privacy, and legal teams while guiding lighthouse implementations.

The Challenger Core team maintains shared technology and guardrails, delivering scalable solutions with a focus on trust, policy enforcement, and measurable success across complex

Qualificações

• Bachelor’s Degree in a relevant field of study.
• 9-12+ years of relevant experience.
• Substantial experience in data, information, solution, or platform architecture, including ownership of production AI, search, or knowledge systems.
• A record of delivering a shared knowledge, search, graph, or grounded-AI capability across varied sources and organizational boundaries.
• Practical fluency with semantic, graph, or retrieval technologies, strong SQL, and a general‑purpose programming language.
• Experience designing pipelines that connect analytical, document, event, and operational information with clear production controls.
• Evidence of implementing access, provenance, quality, and lifecycle controls through the production retrieval path.
• The ability to use prototypes and operational evidence to make sound trade‑offs rather than defaulting to a particular vendor or pattern.
• Experience guiding complex decisions and raising engineering capability through influence, collaboration, and mentoring.
• This role requires up to 50% travel and flexibility to go into the office in a hybrid capacity.

Responsabilidades

• Set the knowledge direction. Own the target architecture, roadmap, and decision principles for the knowledge, retrieval, and grounding capabilities used by AI products and agents.
• Design organizational memory. Create a federated approach that respects domain ownership while establishing shared meaning, durable interfaces, and clear lifecycle expectations.
• Translate business questions. Work with domain experts to define the concepts, relationships, and boundaries that AI systems need to interpret information accurately.
• Engineer trusted ingestion. Shape reusable patterns that bring varied sources into the platform while preserving authority, lineage, freshness, licensing, and uncertainty.
• Build effective retrieval. Combine search, semantic, graph, and structured methods based on the problem, making relevance, latency, cost, and explainability trade-offs visible.
• Make evidence inspectable. Ensure context includes citations, provenance, quality signals, and evaluation hooks so users and teams can understand why an answer should be trusted.
• Embed policy in the path. Partner with security, privacy, records, and legal teams to make permitted use, access, retention, and deletion requirements technically enforceable.
• Prove the architecture. Lead lighthouse implementations from prototype through production, using working systems to resolve choices and establish a credible path to scale.
• Operate and improve. Define service objectives, observability, incident learning, and quality measures that keep knowledge capabilities current and dependable after launch.
• Build shared capability. Create reference components and onboarding practices, mentor engineers and stewards, and guide cross-functional architecture decisions.

Conhecimentos

Information architecture

Retrieval expertise

Data engineering depth

Trust by design

Product mindset

Influential leadership

Travel willingness

Formação académica

Bachelor’s Degree in a relevant field of study

Ferramentas

SQL

Semantic technologies

Graph databases

Retrieval technologies

Descrição da oferta de emprego

EY is seeking a senior architecture leader to shape knowledge, retrieval, and grounding capabilities for AI products and agents across the firm. You will design federated organizational memory, ensure provenance, and collaborate with security, privacy, and legal teams while guiding lighthouse implementations.

The Challenger Core team maintains shared technology and guardrails, delivering scalable solutions with a focus on trust, policy enforcement, and measurable success across complex