Head of Semantic Architecture & Context Engineering

JPMorganChase; New York (NY); On-site; USD 170,000 - 230,000; Full time

Job summary

JPMorganChase seeks a leader for Semantic Architecture & Context Engineering to define and scale the enterprise semantic foundation across data, analytics, AI, and agentic systems. You’ll drive standardized representations of business concepts, metadata, and knowledge structures, collaborating with Data, AI, Product, and Engineering teams to ensure consistency and domain suitability.

You will lead experimental design for context patterns, establish governance, and advance AI-enabled semantic

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 logical and physical data models, metadata, data products, metrics, dimensions, lineage, and data governance.
• Demonstrated understanding of GenAI architectures, including LLMs, RAG, vector retrieval, natural-language-to-data solutions, prompt/context engineering, and agentic architectures.
• Experience translating complex business concepts into structured technical representations.
• Strong analytical orientation with experience designing experiments or evaluations for solution performance.
• Ability to operate across business, product, data, engineering, and architecture organizations.
• Strong written and verbal communication skills and the ability to influence without direct ownership across teams.

Responsibilities

• Define enterprise framework for representing business meaning and context across data, analytics, AI, and agentic solutions.
• Establish semantic models, taxonomies, metadata, and knowledge structures with reusable patterns.
• Design patterns for RAG, retrieval context, and domain knowledge integration with AI solutions.
• Lead experiments to evaluate context structures, instructions, and metadata configurations using A/B testing and telemetry.
• Establish governance and lifecycle practices for semantic assets with ownership models.
• Embed AI throughout semantic lifecycle, accelerating metadata generation and quality assurance.
• Partner with cross-functional teams to embed semantic best practices into delivery and adoption.

Skills

Semantic architecture

Data architecture

Knowledge engineering

Ontology development

AI/ML engineering

Information architecture

Experiment design

Cross-functional collaboration

Communication skills

Tools

Databricks

Unity Catalog

Delta Lake

Databricks SQL

MLflow

Vector Search

Genie

Job description

JPMorganChase seeks a leader for Semantic Architecture & Context Engineering to define and scale the enterprise semantic foundation across data, analytics, AI, and agentic systems. You’ll drive standardized representations of business concepts, metadata, and knowledge structures, collaborating with Data, AI, Product, and Engineering teams to ensure consistency and domain suitability.

You will lead experimental design for context patterns, establish governance, and advance AI-enabled semantic