Define, document, and maintain enterprise AI services, capabilities, standards, patterns, and reference architectures.
Develop reusable architectural building blocks supporting Generative AI, Agentic AI, orchestration frameworks, retrieval architectures, model access patterns, and AI governance controls.
Evaluate emerging AI technologies, vendor capabilities, and platform offerings to determine suitability for enterprise adoption.
Drive architecture reviews, governance approvals, risk assessments, and design reviews for AI-related initiatives.
Collaborate with architecture review boards, technology governance forums, and risk stakeholders to achieve timely approvals.
Partner with business groups to understand emerging needs, challenges, and strategic opportunities.
Maintain detailed roadmaps, service backlogs, architecture repositories, and governance artifacts.

Requirements
Bachelor’s degree in computer science, Engineering, Information Systems, Data Science, or a related discipline
Master's degree an asset
TOGAF, IASA, AWS, Azure, or equivalent architecture certifications preferred
Experience 8+ years of architecture, engineering, or technology leadership experience
5+ years focused on AI, analytics, automation, machine learning, or modern data platforms
Experience operating within regulated financial services, insurance, wealth management, or similar environments
Experience participating in architecture governance,



standards development, and enterprise design reviews
Experience developing architecture patterns, standards, and reference architectures

Core Competencies
Demonstrates expertise in defining and maintaining enterprise AI services and architectures, with a robust focus on Generative AI and governance controls. Proven ability to evaluate emerging technologies and collaborate with stakeholders to drive architecture reviews and approvals in regulated environments.

Highest-signal resume keywords
Enterprise AI Architecture
Generative AI Development
Architecture Governance
Risk Assessment
Architecture Standards Development

ATS Optimization Keywords
Hard Skills
Architecture Patterns
AI Governance Controls
Machine Learning
Data Science
Automation
Orchestration Frameworks
Model Access Patterns
Architecture Documentation
Architecture Review
Technology Leadership

Soft Skills
Collaboration
Strategic Thinking
Communication
Problem Solving
Stakeholder Engagement

Certifications & Qualifications
TOGAF
IASA
AWS Certification
Azure Certification

Industry Keywords
Financial Services
Insurance
Wealth Management
Regulated Environments
Enterprise Design Reviews

Tools & Technologies
AWS
Azure
AI Platforms
Architecture Repositories
Service Backlogs
Governance Artifacts

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📌 Senior Enterprise Data Architect (Ontario)
🏢 Jobtailor
📍 Ontario