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AWS and AI Solution Architect

  • Toronto, ON
  • Hybrid
  • Posted Oct 9, 2026
  • 1 position

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Employment type
Contract
Experience level
Lead · 12+ years
Minimum education
Bachelor’s degree
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level
Application method
Direct apply is available

Job summary

Design and implement scalable, high-performance AWS architectures and enterprise data platforms that meet functional and non-functional requirements. Modernize legacy applications and define data and AI frameworks for predictive analytics, automation, and real-time intelligence, while aligning designs with enterprise standards and collaborating with development teams.

Job details

Iris's direct client, one of the Top 5 Bank in Canada, is looking to hire a AWS and AI Solution Architect a long-term opportunity at Toronto, ON (Hybrid). Our client is a Canadian multinational financial services company and the largest bank in Canada by market capitalization. The bank serves over 17 million clients and has more than 89,000 employees worldwide. Bank is serving individual consumers, small and middle market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk-management products and services. Position: AWS and AI Solution Architect Location: Toronto, ON (Hybrid) Duration: Full Time / Permanent Role Key Responsibilities Design architectures that meet functional and non-functional requirements such as high availability, fault tolerance, scalability, and performance optimization. Evaluate and modernize legacy applications by mapping target states to modern microservices, containerization and serverless patterns. Collaborate closely with Enterprise Architecture teams to align solution designs with the Enterprise standards (Align / Review / Design solution architecture in line with Bank approved guidelines and patterns) Design and implement high-performance, cloud-native architectures and scalable enterprise data platforms on AWS Define data blueprints and AI solution frameworks that drive predictive analytics, automation, and real-time intelligence. Work closely/collaboratively with dev teams to architect solutions that meet enterprise standards Education & Experience Bachelor’s or Master’s degree in computer science, Software Engineering, or a related field. 12+ years of experience in IT systems design, with at least 3+ years dedicated as a Solution Architect managing cloud, data, or AI architectures. Cloud Platforms: Hands-on experience on the AWS services and cloud infrastructure Thanks and Regards, Raghav Ranjan Iris Software / SSA Infosystems Inc Royal Bank Plaza – North Tower 200 Bay Str. Toronto, ON, M5J 2J2 Email: raghav.ranjan@irissoftware.com www.irissoftware.com

What you’ll do

Design and implement scalable, high-performance AWS architectures and enterprise data platforms that meet functional and non-functional requirements. Modernize legacy applications and define data and AI frameworks for predictive analytics, automation, and real-time intelligence, while aligning designs with enterprise standards and collaborating with development teams.

Requirements

A bachelor’s or master’s degree in computer science, software engineering, or a related field is required, along with 12+ years of IT systems design experience. Candidates should have at least 3 years as a solution architect managing cloud, data, or AI architectures, plus hands-on experience with AWS services and cloud infrastructure.

Listed skills

  • Amazon Web Services · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • AWS
  • Solution Architecture
  • Cloud Infrastructure
  • Cloud-Native Architecture
  • Enterprise Data Platforms
  • AI Architecture
  • Predictive Analytics
  • Microservices
  • Containerization
  • Serverless Architecture
  • High Availability
  • Fault Tolerance
  • Scalability
  • Performance Optimization
  • Legacy Application Modernization
  • Enterprise Architecture Standards

Job areas

  • Technology
  • Software
  • Data & Analytics
  • Finance & Accounting

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