Sr. Enterprise AI Data Architect
Core
Lead the design, governance, and evolution of enterprise data and AI architecture capabilities across a global asset management firm.
Role type
Senior Enterprise AI Data Architect
Builds
Enterprise-wide scalable data and AI solutions, reference architectures, and reusable frameworks for data ingestion, transformation, semantic modeling, and model orchestration.
Domain
Financial Services / Enterprise Data & AI Architecture
Deliverable
production ML models | infrastructure
Required skills
Enterprise data and AI architecture, Generative AI and ML solution design, Cloud data platforms (AWS, Snowflake), Python programming, API design, CI/CD pipelines, Infrastructure as Code, Data governance and lineage, Stakeholder management
Preferred skills
Asset Management domain experience, AWS AI Practitioner certification, SnowPro Core Certification
Technologies
AWS, Snowflake, Amazon Bedrock Agent Core, Snowflake Cortex, Python
Responsibilities
Lead architecture design and selective hands-on implementation of enterprise data and AI solutions; Define end-to-end architecture patterns covering data ingestion, transformation, semantic modeling, retrieval, and model orchestration; Build prototypes and proof-of-concepts to validate architecture decisions; Establish reusable design patterns for agentic and model-driven workflows; Design integration of AI capabilities with enterprise applications and data platforms; Partner with engineering teams to ensure scalable and secure implementation; Define standards for metadata, lineage, governance, and lifecycle management.
Seniority
Senior, hands-on IC with strategic leadership