Senior Enterprise Data Architect
Core
Define, govern, and operationalize enterprise AI, Generative AI, and Agentic AI architectures, standards, and patterns to enable secure, compliant, and scalable adoption across the organization.
Role type
Senior Enterprise Data Architect (AI Domain)
Builds
Enterprise AI services, reusable architectural patterns, governance frameworks, and reference architectures for Generative and Agentic AI.
Domain
Financial Services / Artificial Intelligence / Enterprise Architecture
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure
Required skills
Generative AI architecture, Agentic AI workflows, orchestration frameworks, AI governance, risk assessment, stakeholder management, requirements analysis, solution design, regulatory compliance, architecture documentation
Preferred skills
TOGAF, IASA, AWS, Azure certifications, Master's degree in CS/Engineering/Data Science
Technologies
Foundation models, retrieval-augmented generation, agentic workflows, orchestration frameworks, AI platforms
Responsibilities
Define and maintain enterprise AI services, standards, and reference architectures; drive architecture reviews and governance approvals for AI initiatives; partner with business groups to translate needs into scalable AI solutions; assess architectural trade-offs regarding security, privacy, and scalability; ensure alignment with OSFI expectations and organizational governance standards.
Seniority
Senior, hands-on IC with strategic governance focus
