Solutions Architect - AI
Location: Indianapolis, IN
Responsibilities:
- Design the end to end architecture for the Domain Context Model, Business Context Repository, ontology, and AI evaluation framework.
- Define how business context, data products, metadata, semantic layers, and the client’s existing Graph capabilities connect to support AI driven queries.
- Architect the Business Context Repository and its integration with the client’s existing Context Injection component and approved enterprise platforms.
- Establish technical standards for domain modeling, data classification, access controls, security, scalability, and maintainability.
- Design the AI evaluation approach, including ground truth datasets, accuracy measurement, failure classification, and before and after context testing.
- Define agentic workflows and orchestration patterns for automated context capture, enrichment, validation, and refresh with human oversight.
- Provide technical direction to the engineering, validation, business analysis, and techno functional architecture resources.
- Lead solution reviews, resolve architectural issues, support weekly client demonstrations, and oversee technical documentation and knowledge transfer.
Requirements
Required Technical Expertise: Enterprise data and AI solution architecture, Python, SQL, LLMs, RAG and context engineering, ontologies, semantic modeling, knowledge graphs, agentic workflows, AI evaluation, data governance, and cloud architecture.