Principal AI Solutions Architect
Core
Designing a governed context system and multi-agent AI architecture to unify trusted data for enterprise operations and automate go-to-market workflows.
Role type
Principal AI Solutions Architect
Builds
A stateful multi-agent system, governed APIs, and a production RAG/Data Graph layer for enterprise data.
Domain
B2B SaaS, Enterprise Data Management, AI/ML Operations
Deliverable
production ML models | infrastructure
Required skills
Master Data Management (MDM) design, Enterprise Service Bus (ESB) architecture, Retrieval-Augmented Generation (RAG) design, Multi-agent system orchestration, Cloud data warehouse architecture
Preferred skills
Syncari, Snowflake Cortex, Glean, Model Context Protocol (MCP), AI regulatory compliance
Technologies
Snowflake, Salesforce, HubSpot, OpenAI, Anthropic, MCP
Responsibilities
Design hub-and-spoke data schema across Salesforce, HubSpot, and Syncari; Map and codify match/survivorship rules for golden records; Architect event-log flow into Snowflake; Define governed APIs for AI agent data access; Design stateful multi-agent workflows; Architect RAG and Data Graph layers; Implement stewardship queues and governed writeback; Partner with Data Engineers to deliver roadmap and instrument dashboards; Serve as technical authority to the Software Advisory Board.