Enterprise Architect
Core
Define and govern enterprise-wide data and AI architecture to enable scalable SaaS growth, trusted analytics, and responsible AI adoption.
Role type
Senior Enterprise Architect (Data & AI)
Builds
Enterprise data platforms, AI/ML capabilities, and cloud-native SaaS architectures
Domain
SaaS, Data & AI, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Enterprise architecture strategy, data platform design, AI/ML solution patterns, cloud-native architecture, data governance, executive communication, architecture frameworks (TOGAF), Agile/Lean delivery
Preferred skills
LLMs and generative AI integration, data mesh concepts, regulatory compliance frameworks (SOC 2, GDPR, HIPAA), observability for data/AI, high-growth SaaS background
Technologies
Vector databases, feature stores, model lifecycle management tools, cloud data warehouses, data lakes, streaming platforms
Responsibilities
Define enterprise data and AI architecture vision and roadmap; Establish data-as-a-product practices and ownership models; Partner with product and engineering to embed AI/ML capabilities; Create and enforce enterprise standards for data platforms and AI services; Advise executives on data and AI investment decisions; Mentor architects and senior engineers on architecture patterns
Seniority
Senior, strategic IC with executive partnership