Senior Solutions Architect, Isv Canada

Amazon Amazon · Big Tech · CA, ON +1 · Solutions Architect

Senior Solutions Architect at AWS focusing on helping Independent Software Vendors (ISVs) in Canada adopt AWS cloud services. The role involves acting as a technical leader and strategic advisor, designing end-to-end architectures, and influencing long-term technology strategy. While the role requires deep technical expertise across multiple domains including AI/ML, generative AI, agentic applications, MLOps, and RAG (preferred qualifications), its primary function is to architect and drive the adoption of cloud solutions for customers, rather than directly building or researching AI models themselves. The role supports customers in shipping AI-powered products.

What you'd actually do

  1. Architect extensible, reusable, and operationally excellent cloud solutions to complex migration, modernization, and innovation challenges
  2. Build and own strategic relationships with senior customer leaders across business areas, understanding their industry context and business objectives to influence long-term technology strategy and proactively identify opportunities that support business outcomes
  3. Provide technical leadership across internal and cross-functional teams to deliver solutions, building consensus on technical approaches and negotiating architectural trade-offs to drive measurable business impact
  4. Develop and deliver technical content such as workshops, prototypes, and presentations and speak at events to help customers evaluate and adopt new technologies
  5. Advocate for customers by identifying product gaps and feature requests, and work with AWS service teams to help them understand customer needs

Skills

Required

  • 5+ years of design, implementation, or consulting in applications and infrastructures experience
  • Deep technical expertise across multiple domains (cloud architecture, data & analytics, AI/ML, software development, security, networking)
  • Familiarity with modern architectural patterns such as microservices, serverless, and event-driven systems

Nice to have

  • Bachelor's degree
  • Extensive hands-on experience with cloud platforms (AWS, Azure, or Google Cloud)
  • Proven track record of creating reusable technical assets
  • Experience designing and implementing complex AI/ML solutions, including generative AI, agentic applications, MLOps patterns, and RAG architectures
  • Experience with scripting, automation, and software development in multiple languages (Python, JavaScript, Java, etc.)

What the JD emphasized

  • Deep technical expertise across multiple domains (cloud architecture, data & analytics, AI/ML, software development, security, networking) with ability to make informed trade-off decisions between extensibility, scalability, maintainability, and business value.
  • Experience designing and implementing complex AI/ML solutions, including generative AI, agentic applications, MLOps patterns, and RAG architectures.