Business Systems Architect, AI

10+ years of experience in enterprise systems architecture, business systems engineering, or IT strategy. Deep understanding of SaaS application ecosystems (Salesforce, NetSuite, Workday, Notion, etc) and their APIs/integration frameworks. Strong experience with AI/ML systems integration and architecture design (e.g., model orchestration, embeddings, vector databases, agent frameworks). Familiarity with MCP-like architectures or modular AI orchestration frameworks, and hands-on experience working with AI platforms (like OpenAI, Anthropic, etc.). Proven ability to design scalable internal architectures that balance innovation, usability, and compliance. Excellent cross-functional collaboration skills.

Develop a strategic roadmap for AI feature evaluation, adoption, and management. Lead technical design and integration of AI-powered features within enterprise applications. Partner with application owners to define AI use cases and assess ROI, risk, and compliance. Establish best practices for model selection, integration, and governance. Define architectural standards for AI model and API connections, authentication, and monitoring. Co-lead the design of the internal AI MCP matrix. Support procurement and vendor selection by defining architectural and integration requirements for AI tools. Define lifecycle management processes for AI-enabled tools.