VP, Semantic Architecture & Context Engineering

RiseMe; New York (NY); On-site; USD 180,000 - 270,000; Full time

Job summary

RiseMe seeks a Semantic Architecture & Context Engineering Lead to define and scale the semantic foundation powering our data, analytics, AI, and agentic ecosystem. You will shape how business concepts, metrics, relationships, and metadata are represented so models can reason and act reliably.

You will work across Data, Analytics, AI, Product, Engineering, and business teams, establishing an experimental discipline for context using structured evaluation, A/B testing, and production telemetry to

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 modern GenAI architectures, including LLMs, RAG, vector retrieval, natural-language-to-data solutions, prompt/context engineering, and agentic architectures.
• Experience translating complex business concepts and domain knowledge into structured technical representations.
• Strong analytical orientation with experience designing experiments, evaluations, or other quantitative methods for assessing solution performance.
• Ability to operate effectively across business, product, data, engineering, and architecture organizations.
• Strong written and verbal communication skills and the ability to influence without direct ownership of participating teams.

Responsibilities

• Enterprise Semantic & Context Architecture: Define the enterprise framework for representing business meaning and context across data, analytics, AI, and agentic solutions.
• AI & Agent Context Engineering: Define best practices for structuring the context provided to GenAI and agentic solutions and design context patterns for RAG, natural-language-to-data, reasoning, and workflow orchestration.
• Data Product Semantics: Partner with data product managers to strengthen semantic layers, metadata, lineage, and data-quality expectations.
• Context Experimentation & Evaluation: Design and lead experiments to evaluate alternative context structures using A/B testing and telemetry.
• Semantic Lifecycle & Governance: Establish lifecycle practices for semantic assets with ownership models and versioning.
• AI-Enabled Semantic Engineering: Identify opportunities to embed AI throughout the semantic lifecycle.
• Partnership & Adoption: Act as SME and build playbooks, templates, and a community of practice across data and AI teams.

Skills

Semantic architecture

Data architecture

Knowledge engineering

Ontology development

AI/ML engineering

Information architecture

Cross-functional collaboration

Context engineering

Tools

Databricks

Unity Catalog

Delta Lake

Genie

Neo4j

SPARQL

Job description

RiseMe seeks a Semantic Architecture & Context Engineering Lead to define and scale the semantic foundation powering our data, analytics, AI, and agentic ecosystem. You will shape how business concepts, metrics, relationships, and metadata are represented so models can reason and act reliably.

You will work across Data, Analytics, AI, Product, Engineering, and business teams, establishing an experimental discipline for context using structured evaluation, A/B testing, and production telemetry to