- 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 up-to-date 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 architecturesCore CompetenciesDemonstrates 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 DevelopmentATS Optimization KeywordsHard Skills- Architecture Patterns- AI Governance Controls- Machine Learning- Data Science- Automation- Orchestration Frameworks- Model Access Patterns- Architecture Documentation- Architecture Review- Technology LeadershipSoft Skills- Collaboration- Strategic Thinking- Communication- Problem Solving- Stakeholder EngagementCertifications & Qualifications- TOGAF- IASA- AWS Certification- Azure CertificationIndustry Keywords- Financial Services- Insurance- Wealth Management- Regulated Environments- Enterprise Design ReviewsTools & Technologies- AWS- Azure- AI Platforms- Architecture Repositories- Service Backlogs- Governance Artifacts#J-18808-Ljbffr

📌 Enterprise Data Architect: Lakehouse & Governance (Toronto)
🏢 Interac
📍 Toronto