- 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 solid 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

#J-18808-Ljbffr

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