Senior Cloud Architect – Azure & AI Platforms (Multi-Cloud)

ManulifeWaterloo, ON
$107,450 - $199,550Hybrid

About The Position

At Manulife, we’re transforming how we deliver financial security through modern cloud and AI platforms that support millions of customers across global markets. We’re looking for a Senior Cloud Architect to help shape and lead our multi-cloud strategy across Azure, AWS, and Alibaba Cloud. In this role, you will partner with engineering, security, and business leaders to design secure, scalable, and cost-efficient platforms that enable innovation and long-term growth. You’ll play a key role in advancing our cloud transformation—modernizing legacy systems, accelerating adoption of cloud-native platforms, and contributing to our AI-first strategy, including Generative AI and emerging agent-based architectures.

Requirements

  • Extensive experience in cloud architecture (typically 10+ years), with a strong focus on Microsoft Azure
  • Proven experience designing and delivering cloud-native, distributed systems at enterprise scale
  • Strong knowledge of microservices, APIs, and event-driven architecture
  • Experience working with containers and Kubernetes (e.g., AKS)
  • Deep understanding of cloud security, networking, and governance principles
  • Experience translating business needs into scalable technical solutions
  • Strong communication skills with the ability to influence and collaborate across teams

Nice To Haves

  • Experience working in multi-cloud environments
  • Exposure to AI/ML or Generative AI platform design
  • Experience in regulated industries (e.g., financial services, healthcare)
  • Familiarity with Infrastructure as Code tools (e.g., Terraform, Bicep) and DevOps practices

Responsibilities

  • Lead the architecture and design of cloud-native solutions across a multi-cloud environment (Azure, AWS, Alibaba Cloud)
  • Define scalable platform strategies using PaaS, containers, and serverless technologies
  • Drive the transformation of legacy systems into modern, microservices-based architectures
  • Guide the migration from IaaS to PaaS-first models to improve scalability, efficiency, and cost optimization
  • Design distributed systems using event-driven and API-first approaches
  • Establish reusable architecture patterns, standards, and templates to support consistent delivery across teams
  • Partner with business and technology stakeholders to align architecture decisions with outcomes, security, and compliance requirements
  • Contribute to AI platform architecture, including Generative AI, LLM integration, and modern application patterns
  • Promote DevOps, Infrastructure as Code, and automation practices to improve delivery speed and reliability
  • Define observability and monitoring strategies to ensure high system performance and resilience
  • Support the design of AI-enabled platforms using Azure AI services, including Generative AI solutions
  • Translate business use cases into scalable AI architectures (e.g., retrieval-augmented generation, intelligent workflows)
  • Stay current with evolving AI technologies and contribute to technical direction and roadmap planning
  • Apply responsible AI principles, including governance, security, and ethical considerations

Benefits

  • health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans
  • various retirement savings plans (including pension and a global share ownership plan with employer matching contributions)
  • financial education and counseling resources
  • generous paid time off program in Canada includes holidays, vacation, personal, and sick days
  • full range of statutory leaves of absence
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