Senior Enterprise Data Architect

Jobtailor; Toronto; On-site; CAD 120,000 - 150,000; Full time

Job summary

Jobtailor in Canada seeks an experienced Enterprise AI Architect to define and maintain enterprise AI services, standards, and reference architectures. You will develop reusable building blocks for Generative AI, orchestration, and AI governance while evaluating new technologies for regulated environments.

Lead architecture reviews, risk assessments, and governance activities, collaborating with governance boards and business units to secure timely approvals.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Enterprise AI Architecture

Generative AI Development

Architecture Governance

Risk Assessment

Architecture Standards Development

Education

Bachelor’s degree in computer science/engineering

Master’s degree an asset

Tools

TOGAF

IASA

AWS Certification

Azure Certification

Job description

• 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 strong 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