Full Stack AI Solution Architect

Job summary

The architect will design end-to-end AI solution architectures and lead project blueprints to ensure scalability and compliance. They will also drive the implementation of Kubernetes and define reusable AI reference architectures.

Job details

Full Stack AI Solution Architect On behalf of our Banking client, Procom is searching for a Full Stack AI Solution Architect for a 2-year role. This position is a hybrid position with 2 days onsite at our client’s Toronto office. Full Stack AI Solution Architect - Job Description: The Full Stack AI Solution Architect will work on the Infrastructure and Engineering business as part of the broader Solution Architecture Practice department. The role involves acting as a technical advisor, creating architectural target states, and collaborating with platform technology teams to create solutions that meet business needs. The Architect will design end-to-end AI solution architectures and lead project/product architecture blueprints to ensure solutions are scalable, reliable, and compliant with enterprise standards. Full Stack AI Solution Architect - Responsibilities: • Align internal and external stakeholders on architecture aspects of the product strategy. • Lead architecture backlog prioritization activities. • Oversee portfolio of Product-based Delivery Work. • Collaborate with marketing teams and engineers. • Oversee and advise on the design of technology applications and/or infrastructure. • Drive the end-to-end solution of Kubernetes in the organization. • Define reusable AI reference architectures and decision frameworks. Full Stack AI Solution Architect - Mandatory Skills: • Experience with Continuous Integration, Continuous Delivery, and Test-Driven Development. • Demonstrated experience with leading technical tools integration in a complex environment. • Extensive hands-on architecture experience with GenAI, LLM, and agentic AI solutions. • Deep understanding of AI platform architecture across cloud and hybrid environments. • Intimate knowledge of AI services and capabilities. • Strong communication skills. • Relevant AI, cloud, architecture, security, or data certifications. Full Stack AI Solution Architect – Nice-to-Have Skills: • Experience working in a regulatory environment. Full Stack AI Solution Architect – Assignment Length: This is a 2-year contract position. Full Stack AI Solution Architect - Start Date: ASAP. Full Stack AI Solution Architect - Assignment Location: Toronto, Ontario, Canada. This is a hybrid role requiring 2 days in the office.

What you’ll do

The architect will design end-to-end AI solution architectures and lead project blueprints to ensure scalability and compliance. They will also drive the implementation of Kubernetes and define reusable AI reference architectures.

Requirements

Candidates must have extensive hands-on experience with GenAI, LLMs, and agentic AI solutions within cloud and hybrid environments. Proficiency in CI/CD, TDD, and relevant AI or cloud certifications are required.

Listed skills

• Kubernetes · Preferred
• CI/CD · Preferred
• Communication Skills · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• GenAI
• LLM
• Agentic AI
• Kubernetes
• Cloud Architecture
• Hybrid Environments
• CI/CD
• Test-Driven Development
• Technical Tools Integration
• Solution Architecture
• AI Platform Architecture
• Communication Skills

Job areas

• Technology
• Software
• Engineering
• Consulting
• Data & Analytics