AI Solutions Architect — End-to-End Cloud & Kubernetes Leader

Future Secure AI; Toronto; On-site; CAD 90,000 - 150,000; Full time

Benefits offered by this job

Flexible work environment

Growth opportunities

Job summary

Future Secure AI in Toronto is seeking a Solution Architect to own end-to-end design across client engagements — translating complex business requirements into scalable, production-ready technical architectures. You will work closely with customer stakeholders, platform engineers, SREs, DevOps engineers and AI developers to ensure that what gets designed gets built, and built right.

You will lead architecture efforts across cloud infrastructure, data flows, APIs and multi‑component systems,

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or related discipline, or equivalent practical experience.
• 7+ years in solution architecture, platform engineering, cloud infra, or software development.
• Production-grade solutions on AWS, Azure, or Google Cloud.
• Ability to communicate complex architectures to technical and non-technical audiences.
• Customer-facing experience with stakeholders to understand requirements and drive alignment.
• Hands-on Kubernetes experience with EKS/AKS/GKE or similar.

Responsibilities

• Define end-to-end solution architectures mapping business requirements to scalable designs.
• Design Kubernetes-based architectures supporting AI and application workloads.
• Lead design across cloud infra, services, data flows, and integrations.
• Work hands-on with public cloud services to shape deployable solutions.
• Collaborate with engineers and platform teams to implement architectures as designed.
• Support architecture workshops with internal teams and client stakeholders.
• Ensure SDLC alignment from design through build, test, deployment, and operation.
• Design architectures spanning APIs, services, and multi-component systems.
• Contribute to platform engineering enabling teams to build and operate AI Co-Workers.
• Balance technical excellence with pragmatism on cost, scalability, security, and speed.

Skills

Kubernetes

Public cloud

CI/CD

Terraform

Helm

Programming languages

Architectural design

Communication

Customer-facing

Education

Bachelor’s degree in CS/Software Eng or equivalent

Equivalent practical experience

Tools

Terraform

Helm

Job description

Future Secure AI in Toronto is seeking a Solution Architect to own end-to-end design across client engagements — translating complex business requirements into scalable, production-ready technical architectures. You will work closely with customer stakeholders, platform engineers, SREs, DevOps engineers and AI developers to ensure that what gets designed gets built, and built right.

You will lead architecture efforts across cloud infrastructure, data flows, APIs and multi‑component systems,