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 contemporary 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 #J-18808-Ljbffr

📌 Senior Enterprise Data Architect (Toronto)
🏢 HireOn Tech
📍 Toronto