AI Solutions Architect: Domain & Knowledge Graphs

RADcube; Indianapolis (IN); On-site; USD 140,000 - 190,000; Full time

Job summary

RADcube, an Indianapolis-based technology consulting and software firm, is seeking a Solutions Architect - AI to lead end-to-end architecture across domain and business context models, ontologies, and AI evaluation frameworks in support of enterprise AI initiatives.

The role requires 10+ years in enterprise data and AI solution architecture, deep expertise in Python, SQL, LLMs, RAG, and cloud architecture, and the ability to guide engineering and validation teams through complex architecture

Qualifications

• 10+ years of enterprise data and AI solution architecture experience.
• Proficiency in Python, SQL, LLMs, RAG, and context engineering.
• Experience with ontologies, semantic modeling, and knowledge graphs.
• Ability to design agentic workflows and AI evaluation approaches.
• Strong data governance and cloud architecture skills.

Responsibilities

• Design end-to-end architecture for Domain Context Model, Business Context Repository, ontology, and AI evaluation framework.
• Define connections between business context, data products, metadata, semantic layers and client Graph capabilities for AI queries.
• Architect the Business Context Repository and integrate with Context Injection and enterprise platforms.
• Set technical standards for domain modeling, data classification, access controls, security, scalability, and maintainability.
• Design AI evaluation approach including ground truth datasets, accuracy measurement, failure classification, and context testing.
• Define agentic workflows and orchestration patterns for automated context capture, enrichment, validation, and refresh with human oversight.
• Provide technical direction to engineering, validation, business analysis, and techno-functional architecture teams.
• Lead solution reviews, resolve architectural issues, support client demos, and oversee documentation and knowledge transfer.

Skills

Python

SQL

LLMs

RAG

Context engineering

Ontologies

Semantic modeling

Knowledge graphs

Agentic workflows

AI evaluation

Data governance

Cloud architecture

Enterprise data architecture

AI solution architecture

Job description

RADcube, an Indianapolis-based technology consulting and software firm, is seeking a Solutions Architect - AI to lead end-to-end architecture across domain and business context models, ontologies, and AI evaluation frameworks in support of enterprise AI initiatives.

The role requires 10+ years in enterprise data and AI solution architecture, deep expertise in Python, SQL, LLMs, RAG, and cloud architecture, and the ability to guide engineering and validation teams through complex architecture