Solutions Architect - AI

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.