Senior AI Knowledge Architect for Enterprise Data

EY; Baton Rouge (LA); Hybrid; USD 144,000 - 329,000; Full time

Job summary

EY is seeking an accomplished enterprise architect to shape knowledge foundations for AI products. You will lead architecture, design organizational memory, and drive trusted ingestion, retrieval, and policy implementation across diverse data sources. Travel up to 50% and a hybrid office model are expected.

Bring 9–12+ years in data/knowledge architecture, strong SQL, semantic/graph tech, and leadership to align stakeholders with scalable, compliant solutions.

Qualifications

• 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.
• Enterprise delivery of a shared knowledge, search, graph, or grounded‑AI capability across varied sources and organizational boundaries.
• Hands‑on technical depth with semantic, graph, or retrieval technologies, strong SQL, and a general‑purpose programming language.
• Data integration: design pipelines that connect analytical, document, event, and operational information with clear production controls.
• Policy‑aware architecture: implement access, provenance, quality, and lifecycle controls through the production retrieval path.
• Cross‑functional leadership: guide complex decisions and raise engineering capability through influence and mentoring.
• Travel and on-site requirements: up to 50% travel and hybrid office.

Responsibilities

• 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. Define 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 understand why an answer should be trusted.
• Embed policy in the path. Partner with security, privacy, records, and legal teams to enforce permitted use, access, retention, and deletion requirements.
• Prove the architecture. Lead lighthouse implementations from prototype through production to establish a credible path to scale.
• Operate and improve. Define service objectives, observability, incident learning, and quality measures that keep knowledge capabilities current.
• Build shared capability. Create reference components and onboarding practices, mentor engineers and stewards, and guide cross‑functional architecture decisions.

Skills

Information architecture

Retrieval expertise

Data engineering

Trust by design

Product mindset

Influential leadership

Education

Bachelor’s Degree

Tools

SQL

General-purpose programming language

Job description

EY is seeking an accomplished enterprise architect to shape knowledge foundations for AI products. You will lead architecture, design organizational memory, and drive trusted ingestion, retrieval, and policy implementation across diverse data sources. Travel up to 50% and a hybrid office model are expected.

Bring 9–12+ years in data/knowledge architecture, strong SQL, semantic/graph tech, and leadership to align stakeholders with scalable, compliant solutions.