Enterprise AI and Data Architect
Core
Enterprise architect for data and AI, defining shared platforms, standards, and reference architectures across business units to enable scalable, secure, and cost-effective AI/ML delivery.
Role type
Senior IC enterprise AI and data architect
Builds
Enterprise data and AI reference architectures, multi-tenant SaaS platforms, agentic AI systems, and governance frameworks
Domain
Enterprise software, AI/ML, data engineering, multi-tenant SaaS
Deliverable
production ML models
Required skills
Enterprise architecture, LLM/agentic systems orchestration, Snowflake data architecture, multi-tenant SaaS design, regulated data compliance, architecture governance, AI cost optimization (FinOps), technical leadership
Preferred skills
Model Context Protocol (MCP), agent frameworks, LLM gateway design, Datadog/OpenTelemetry observability, AI risk frameworks (NIST, ISO/IEC 42001, EU AI Act), legacy modernization
Technologies
Snowflake, Datadog, OpenTelemetry, MCP, LLM frameworks
Responsibilities
Define enterprise target architecture and standards for data and AI; design multi-tenant patterns for agentic AI platforms; establish data governance and quality rules on Snowflake; integrate security and privacy into reference architectures; optimize AI costs and observability; lead architecture councils and mentor engineers
Seniority
Senior, hands-on IC with leadership scope