Enterprise AI: Semantic Architecture & Context Lead

JPMorgan Chase & Co.; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase & Co. seeks a strategic leader to shape the semantic foundation of enterprise data, analytics, AI, and agentic systems.

You will drive standardized context representations, machine-readable business concepts, and governance across domains, collaborating with data, AI, product, engineering, and business teams. The role emphasizes establishing an experimental discipline around context with AI-assisted approaches, designing scalable patterns for GenAI solutions and enterprise data

Qualifications

• Significant experience in semantic architecture, data architecture, knowledge engineering, ontology development, data product management, AI/ML engineering, information architecture, or advanced analytics.
• Strong understanding of enterprise data architecture, including metadata, data products, lineage, and data governance.
• Demonstrated understanding of GenAI architectures, RAG, vector retrieval, and prompt/context engineering.

Responsibilities

• Enterprise Semantic & Context Architecture: define framework and standards for semantic models, metadata, and knowledge structures across data, analytics, AI, and products.
• AI & Agent Context Engineering: design context patterns for GenAI, RAG, memory, and agent tool use, enabling reliable AI reasoning.
• Data Product Semantics: strengthen semantic layer of data products with clear definitions, mappings, and governance.
• Context Experimentation & Evaluation: lead experiments using A/B testing, telemetry, and golden datasets to improve context quality.
• Semantic Lifecycle & Governance: manage ownership, versioning, deployment, monitoring, and retirement of semantic assets.

Skills

Semantic architecture

Data architecture

Knowledge engineering

Ontology development

Data product mgmt

AI/ML engineering

Experiment design

Cross-functional collab

Communication skills

Enterprise data governance

Tools

Databricks Unity Catalog

Delta Lake

Databricks SQL

MLflow

Vector Search

Genie

Knowledge graphs

Job description

JPMorgan Chase & Co. seeks a strategic leader to shape the semantic foundation of enterprise data, analytics, AI, and agentic systems.

You will drive standardized context representations, machine-readable business concepts, and governance across domains, collaborating with data, AI, product, engineering, and business teams. The role emphasizes establishing an experimental discipline around context with AI-assisted approaches, designing scalable patterns for GenAI solutions and enterprise data