Enterprise Semantic Architect & Context Lead

J.P. Morgan; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary package

Health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

JPMorganChase is seeking a visionary Semantic Architecture & Context Engineering Lead to define the enterprise semantic foundation across data, analytics, AI, and agentic ecosystems. You will drive cross‑functional collaboration with data product managers, AI engineers, and domain experts to ensure consistent, governed semantic structures.

The role emphasizes experimentation, contextual patterns, and scalable patterns for business concepts, metrics, definitions, and retrieval strategies,

Qualifications

• Experience in semantic architecture and data context modeling across enterprise data products.
• Ability to translate business concepts into machine-readable representations with governance.
• Strong background in GenAI architectures, RAG, and AI-assisted semantic workflows.

Responsibilities

• Define enterprise semantic framework for data, analytics, AI, and agentic solutions.
• Lead context engineering for GenAI, including system instructions, metadata, and retrieval context.
• Partner with data product teams to embed semantic contracts across domains.
• Design experiments and validation to improve answer accuracy and grounding.
• Establish lifecycle governance for semantic assets and versioning.

Skills

Semantic architecture

Data architecture

Knowledge engineering

Ontology development

AI/ML engineering

Information architecture

Tools

Databricks Unity Catalog

Delta Lake

Databricks SQL

MLflow

Vector Search

Genie

Neo4j/Knowledge graphs

Job description

JPMorganChase is seeking a visionary Semantic Architecture & Context Engineering Lead to define the enterprise semantic foundation across data, analytics, AI, and agentic ecosystems. You will drive cross‑functional collaboration with data product managers, AI engineers, and domain experts to ensure consistent, governed semantic structures.

The role emphasizes experimentation, contextual patterns, and scalable patterns for business concepts, metrics, definitions, and retrieval strategies,