Senior AI Architect, Semantic Layer & Algorithm Ar
Core
Design foundational architectures for data, analytics, and AI ecosystems, connecting lakehouses, semantic layers, and ML capabilities into a scalable platform.
Role type
Senior AI Architect (Data & AI Platform)
Builds
Scalable, reusable data and AI platforms supporting enterprise analytics and decision-support systems
Domain
Data Architecture, AI/ML Infrastructure, Enterprise Data Governance
Deliverable
production ML models | infrastructure
Required skills
Enterprise data architecture, semantic layer design, data governance frameworks, feature store architecture, model lifecycle management, schema management, metadata frameworks, interoperability patterns, translating business requirements to technical architecture
Preferred skills
Enterprise semantic layer implementation, AI governance frameworks, graph analytics architecture, LLM-enabled platform capabilities
Technologies
Databricks, DataHub, Snowflake, feature stores, metadata platforms
Responsibilities
Define technical patterns for semantic layers and medallion architectures; Design data contract frameworks for trusted data assets; Establish architectural standards for feature stores and model governance; Partner with product and engineering teams to align architecture with business needs; Lead discussions on balancing scalability, governance, and technical feasibility
Seniority
Senior, hands-on IC with strategic influence