Enterprise AI and Data Architect
Core
Define enterprise-wide data and AI architecture, standards, and shared platforms to enable business units to build differentiated products while ensuring security, governance, and interoperability.
Role type
Senior Enterprise AI and Data Architect
Builds
Shared data and AI platforms, reference architectures, and agentic AI systems
Domain
Enterprise software, AI/ML, Data Engineering
Deliverable
production ML models
Required skills
Enterprise architecture, Agentic AI systems, LLM orchestration, Snowflake data architecture, Semantic layer design, Data governance, AI security, Cost optimization, Observability, Technical leadership
Preferred skills
Experience with MCP (Model Context Protocol), AI-assisted development patterns, Multi-tenancy design
Technologies
Snowflake, Datadog, LLMs, Agentic AI frameworks, MCP
Responsibilities
Own enterprise target architecture for data and AI; Design multi-tenancy patterns for 130,000+ businesses; Define enterprise data standards on Snowflake; Build architecture rules into CI for AI-generated code; Work with security teams to integrate threat models and prompt-injection defenses; Design cost control mechanisms for AI platforms; Lead technical evaluation of AI platforms and data tools; Advise the Chief AI Officer on technology investments.
Seniority
Senior, hands-on IC with mentorship scope