AI Architect - Enterprise Semantic Solution

Compunnel, Inc.; Town of Texas (WI); On-site; USD 120,000 - 150,000; Full time

Job summary

A technology solutions company is seeking an experienced AI Architect to lead the design of an enterprise semantic solution. This role involves architecting a unified data layer that allows users to interact with both structured and unstructured data through natural language. The ideal candidate will have proven experience with enterprise semantic solutions, semantic technologies, and strong collaboration skills across multiple business domains. Key responsibilities include developing semantic models and establishing scalable architecture.

Qualifications

• Proven experience designing and implementing enterprise semantic layers or semantic orchestration solutions.
• Hands-on experience with semantic technologies and graph technologies.
• Strong understanding of natural language interaction with data.

Responsibilities

• Architect and implement an enterprise semantic layer for natural language interaction.
• Define and develop an enterprise context layer connecting multiple domains.
• Collaborate with stakeholders on ontology models and governance standards.

Skills

Enterprise semantic layers

Semantic technologies

LLM frameworks

Graph technologies like Neo4j

Snowflake

Collibra

Ontology models

Stakeholder management

Job description

AI Architect - Enterprise Semantic Solution

Texas, Spring

04/09/2026

Contract

Active

Job Description:

Job Summary:

We are seeking an experienced AI Architect to lead the design and implementation of an enterprise semantic layer that enables business users to interact with structured and unstructured data through natural language and chat-based experiences. This role focuses on building a unified data consumption layer, defining semantic models, and establishing a scalable enterprise architecture that connects data across multiple business domains.

Key Responsibilities:

• Architect and implement an enterprise semantic layer to enable natural language interaction with curated data products.
• Define and develop an enterprise context layer that connects multiple semantic implementations across domains.
• Design and support a central data consumption layer and curated data product strategy.
• Collaborate with business and technical stakeholders to define ontology models, semantic structures, and governance standards.
• Translate high-level architectural concepts into actionable implementation plans and deliverables.
• Contribute to layered semantic architecture including modeling, ontology extraction, curated semantic views, and enterprise connectivity.
• Work across cloud data platforms, cataloging tools, graph technologies, and orchestration frameworks.
• Establish reusable frameworks for semantic information orchestration and enterprise data consumption.

Required Qualifications:

• Proven experience designing and implementing enterprise semantic layers or semantic orchestration solutions.
• Hands-on experience with semantic technologies, LLM frameworks, and graph technologies such as Neo4j.
• Experience working with Snowflake and Collibra.
• Strong understanding of enabling natural language and chat-based interaction with structured and unstructured data.
• Experience defining ontology models, semantic structures, and enterprise information architecture.
• Ability to translate architectural vision into practical implementation outcomes.
• Experience working across multiple platforms and business domains.
• Strong collaboration and stakeholder management skills.

Preferred Qualifications:

• Experience with modern cloud data platforms used as centralized data hubs.
• Familiarity with enterprise data cataloging and governance tools.
• Experience with graph and non-graph approaches for semantic integration.
• Exposure to enterprise data marketplace and reusable AI/semantic frameworks.