Enterprise AI Architect — Agentic Platforms | Hybrid Toronto

Quantum Technology Recruiting Inc. (QTR); Toronto; Hybrid; CAD 250,000 - 280,000; Full time

Job summary

Quantum Technology Recruiting Inc. (QTR) seeks an experienced Solution Architect to design enterprise AI solutions for regulated institutions. You will translate business requirements into scalable, secure AI architectures while working with CIOs, architects, and engineering teams.

The role emphasizes agentic AI, RAG, orchestration, and API ecosystems within a hybrid Toronto setting. Strong leadership and communication are essential for this high-impact position.

Qualifications

• 15+ years in enterprise technology delivery with senior technical leadership.
• Experience designing enterprise-scale AI solutions with agentic AI, RAG, and orchestration.
• Deep expertise in software architecture, integration patterns, APIs, and cloud tech.
• Ability translate complex business needs into scalable technical solutions and guide decisions.
• Strong knowledge of security, data governance, and responsible AI in regulated environments.

Responsibilities

• Design end-to-end enterprise AI solutions translating client needs into scalable architectures.
• Define solution architecture for complex AI transformations with enterprise alignment.
• Lead architecture discussions with CIOs and engineering teams to drive adoption.
• Establish architecture patterns for agent design, APIs, integration, and governance.
• Collaborate with engineers to ensure scalability, maintainability, and standards.

Skills

Enterprise AI

Client-facing architecture

Cloud-native architectures

Security & data governance

Stakeholder management

Architectural leadership

Tools

Azure AI

AWS Bedrock

Vertex AI

OpenAI

Job description

Quantum Technology Recruiting Inc. (QTR) seeks an experienced Solution Architect to design enterprise AI solutions for regulated institutions. You will translate business requirements into scalable, secure AI architectures while working with CIOs, architects, and engineering teams.

The role emphasizes agentic AI, RAG, orchestration, and API ecosystems within a hybrid Toronto setting. Strong leadership and communication are essential for this high-impact position.