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Manulife

Lead Architect, Cloud & AI

Manulife

. Provide strategic architecture direction and governance for cloud, AI, and emerging technology initiatives supporting Manulife's Asia markets .

Posted 11/11/2026full-timeToronto • CanadaSenior💰 CA$113,260 - CA$210,340 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in enterprise architecture, particularly in cloud and AI technologies, with a strong focus on Microsoft Azure, AWS, and Alibaba Cloud. Proven ability to guide architecture governance, evaluate emerging technologies, and ensure compliance with cybersecurity and regulatory standards.

Highest-signal resume keywords
Enterprise ArchitectureCloud Architecture GovernanceGenerative AI ExpertiseMicrosoft Azure ProficiencyCybersecurity Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Cloud ArchitectureAI ArchitectureArchitecture GovernanceData Integration ArchitectureAPIsResiliencyObservabilityModel OrchestrationMLOpsArchitecture Patterns
Soft Skills
Strong Communication SkillsInfluencing SkillsMentoring
Tools & Technologies
Microsoft AzureAWSAlibaba CloudAzure AI FoundryAzure OpenAIMicrosoft 365 CopilotGitHub CopilotMicrosoft Fabric
Certifications & Qualifications
Relevant Architecture CertificationsMicrosoft Azure CertificationsAI CertificationsCloud Certifications
Industry Keywords
Financial ServicesInsuranceRegulatory ComplianceCybersecurityData Governance

Tech Stack

Tools & technologies
AWSAzureCloudCyber Security

About the role

Key responsibilities & impact
  • Provide strategic architecture direction and governance for cloud, AI, and emerging technology initiatives supporting Manulife's Asia markets
  • Define and evolve target-state architectures, reference architectures, technology standards, guardrails, and reusable enterprise patterns
  • Guide architecture across Microsoft Azure, AWS, and Alibaba Cloud
  • Lead architecture reviews and provide recommendations on technology decisions, exceptions, risks, and trade-offs
  • Connect Asia market requirements and architecture priorities with global technology strategy, standards, and roadmaps
  • Simplify technology landscapes, increase reuse, reduce complexity, and avoid inappropriate vendor or platform dependency
  • Shape enterprise architecture for Generative AI, Agentic AI, and other emerging technology capabilities
  • Establish reusable patterns for language models, RAG, enterprise grounding, model selection and routing, context management, AI orchestration, and enterprise integration
  • Provide architecture leadership across Azure AI Foundry, Azure OpenAI, Microsoft 365 Copilot, Copilot Studio, GitHub Copilot, and Microsoft Fabric
  • Evaluate commercial and open-source technologies and models
  • Shape architecture for AI agents and multi-agent solutions, including orchestration, identity, authorization, MCP, APIs, memory, context, human-in-the-loop controls, observability, and auditability
  • Lead or sponsor architecture assessments, feasibility studies, and proofs of concept
  • Ensure architectures align with cybersecurity, privacy, regulatory compliance, data governance, model risk, and Responsible AI requirements
  • Partner with Cybersecurity, Risk, Data, Platform, and Engineering teams on enterprise controls
  • Guide integration with enterprise platform, data, API, identity, and security services
  • Promote resilient, observable, and cost-conscious architectures with reliability, performance, and FinOps considerations
  • Advise senior business, technology, and architecture leaders across global and Asia market teams
  • Provide technical direction and help stakeholders evaluate options, risks, dependencies, and trade-offs
  • Partner with global and regional Architecture, Engineering, Data, Cybersecurity, Risk, and Platform teams
  • Engage strategic technology providers and assess relevant product roadmaps
  • Communicate complex architecture concepts and decisions to technical practitioners, business stakeholders, and senior leadership
  • Mentor architects and engineers and contribute to architecture standards, practices, and communities

Requirements

What you’ll need
  • 10+ years in progressively complex technology and architecture roles
  • Significant experience in enterprise, solution, platform, cloud, or AI architecture
  • Experience designing and governing enterprise-scale cloud architectures, particularly Microsoft Azure and modern multi-cloud environments
  • Experience defining target-state architectures, reference architectures, technology standards, architecture guardrails, and reusable enterprise patterns
  • Strong understanding of cloud architecture, cybersecurity, identity and access management (IAM), APIs, data and integration architecture, resiliency, observability, and governance
  • Experience with Generative AI, AI platforms, or modern AI architecture patterns
  • Ability to evaluate emerging technologies and translate them into practical enterprise architecture approaches
  • Experience evaluating architecture decisions based on business value, security, scalability, resiliency, interoperability, operational considerations, and cost
  • Ability to influence architecture and technology decisions across complex, global, and cross-functional environments
  • Strong communication and influencing skills
  • Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related discipline, or an equivalent combination of relevant education and professional experience (preferred qualification)
  • Experience supporting technology architecture across Asia or other geographically diverse markets (preferred)
  • Experience with AWS and/or Alibaba Cloud in addition to Microsoft Azure (preferred)
  • Experience in financial services, insurance, or another highly regulated environment (preferred)
  • Knowledge of Generative AI, Agentic AI, RAG, AI agents, model orchestration, MLOps/LLMOps, and emerging AI architecture patterns (preferred)
  • Familiarity with Microsoft, OpenAI, Anthropic, Hugging Face, or other commercial and open-source AI ecosystems (preferred)
  • Familiarity with Model Context Protocol (MCP), multimodal AI, open models, and evolving agent architectures (preferred)
  • Relevant architecture, Microsoft Azure, AI, or cloud certifications (preferred)
  • Based in Canada or the United States
  • Flexibility to collaborate across time zones

Benefits

Comp & perks
  • Flexible work environment
  • Learning and career growth opportunities
  • Health, dental, mental health, and vision benefits
  • Short- and long-term disability insurance
  • Life and AD&D insurance coverage
  • Adoption/surrogacy benefits
  • Wellness benefits
  • Employee/family assistance plans
  • Retirement savings plans, including pension
  • Global share ownership plan with employer matching contributions
  • Financial education and counseling resources
  • Paid holidays, vacation, personal, and sick days in Canada
  • Statutory leaves of absence
  • Incentive programs and incentive compensation tied to business and individual performance
  • Reasonable accommodation during the application process