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Added 9 mins ago
RB
Staff AI Architect/Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
This is a tremendous opportunity to reinvent architecture in the AI Age. As a Staff AI Architect/Engineer, you will operate at the intersection of hands-on AI building and enterprise…
Added 37 mins ago
DS
Senior AI Engineer / Architect
D3 Security
Vancouver, BC
- Full-time
maryWe are looking for a Senior AI Engineer to help architect and scale AI-powered product systems across our platform and engineering workflows. This role is best suited for someone with…
Added 52 mins ago
A
AI Platform Engineer / Halifax, NS (Onsite – 4 Days) - FTE
AceStack
Halifax, NS
- Full-time
We are seeking a hands-on AI Platform Engineer to help build and scale an enterprise agentic AI platform that enables development teams to adopt AI-driven Software Development Life Cycle…
Added 1 hour ago
Senior Software Engineer, Security Engineering - Platform (Auth0)
Okta
Toronto, ON
Senior Software Engineer, Security Engineering
Added 1 hour ago
Senior or Staff Software Engineer, Backend
League Inc.
Canada
As a Senior or Staff Software Engineer, Backend on our Product Engineering team, you bring deep technical expertise to the design and delivery of the foundational services and developer…
Added 1 hour ago
DI
Senior Applied Intelligence Platform Engineer
Dawn InfoTek
Toronto, ON
- Contract
We are currently seeking a Senior Applied Intelligence Platform Engineer to join our dynamic team and work with one of client.
Added 2 hours ago
AI
AI Security Engineer
Avanciers Inc.
Toronto, ON
- $100,000 to $110,000 CAD / year
- Full-time
Avanciers is a premier IT Staffing/Consulting organization and we are currently recruiting for a contract role for one of our premier client in Canada for AI Security Engineer.
Added 2 hours ago
C
Lead Java Developer, Vice President
Citi
Mississauga, ON
- Full-time
…modern Java ecosystems (Java 17+, Spring Boot, Kafka, Cloud Native) with technical team leadership, architectural governance, and leveraging modern AI-assisted engineering tools to drive…
Added 3 hours ago
M
Member of Technical Staff (Agents)
MLabs
Toronto, ON
- Full-time
The Senior Applied AI Engineer will play a pivotal role in defining how AI agents navigate the web. This individual will focus on building open-source frameworks and high-impact demos,…
Added 3 hours ago
AT
Senior AI Engineer
Arkhya Tech Inc.
Canada
- Full-time
Build, integrate, and deploy AI agents leveraging Python and cloud-native services.
Added 3 hours ago
H
AI Solution Architect
Hays
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Defining API-driven, event-driven, and cloud-native integration patterns.
Added 3 hours ago
RV
Radical Ventures: AI Product Engineer
Radical Ventures
Toronto, ON
- Full-time
We are seeking an AI Product Engineer with a passion for building AI-native applications,
Added 3 hours ago
A
Security Research Engineer – AI & Emerging Cybersecurity / Toronto, ON (Hybrid) FTE
AceStack
Toronto, ON
- Full-time
Role: Security Research Engineer – AI & Emerging Cybersecurity
Added 3 hours ago
H
Quality Engineer
Hays
Toronto, ON
- Contract
A leading organization is seeking a highly skilled and experienced Senior Quality Engineer to join its Enterprise Technology and Data team. This role is focused on ensuring the delivery of…
Added 4 hours ago
S
Senior Solution Engineer
Snowflake
Remote, Canada
- $162,000 to $212,625 CAD / year
- Full-time
- Remote
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent…
Added 4 hours ago
I
Lead Java Developer
Infoya
Toronto, ON
- $110,000 to $115,000 CAD / year
- Full-time
Drive modernization and cloud-migration initiatives, including the decomposition of legacy or monolithic applications into cloud-native services.
Added 6 hours ago
3
Senior Software Engineer - Java, Angular REQ_60 REQ_34
3Pillar
Canada
- Full-time
3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across…
Added 6 hours ago
Member of Technical Staff (Agents)
MLabs
Toronto, ON
The Senior Applied AI Engineer will play a pivotal role in defining how AI agents navigate the web. This individual will focus on building open-source frameworks and high-impact demos,…
Added 8 hours ago
A
Solutions Engineer
Ask-AI
Toronto, ON
- Full-time
We’re hiring a Solutions Engineer to own the technical and operational success of our customers from pre-sale through post-sale. This is a full-lifecycle role: you’ll run POVs, lead…
Added 10 hours ago
AI
Lead React Native Developer
AI Interviews
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking a Senior/Lead React Native Engineer with 8+ years of mobile engineering and 5+ years of production React Native experience.Strong expertise in React Native 0.76+, New…
Added 13 hours ago
P
Senior Backend Engineer .NET & Python
PosiTrace
Vancouver, BC
- Full-time
We're migrating toward MACH (Microservices, API-first, Cloud-native, Headless) and need a senior backend engineer to co-own that evolution.
Added 16 hours ago
GC
Senior Forward Deployed Engineer
Greenlight Consulting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
AI-native at depth - you know how LLMs fail and build reliable systems around them
Added 19 hours ago
TI
Senior Software Engineer
Thri5 Inc.
Remote, Canada
- Full-time
- Remote
As a Senior Software Engineer at Thri5, you'll play a key role in building and scaling our product. You'll own significant technical problems from design through production, working closely…
Added 23 hours ago
W
AI Solution Architect
Workana
Remote, Canada
- Contract
- Remote
You will design secure, scalable cloud-native AI solutions primarily on Microsoft Azure (with working exposure to GCP), leveraging frameworks like LangGraph and LangChain. You will partner…
Added 23 hours ago
W
AI Solution Architect
Workana
Remote, Canada
- Contract
- Remote
You will design secure, scalable cloud-native AI solutions primarily on Microsoft Azure (with working exposure to GCP), leveraging frameworks like LangGraph and LangChain. You will partner…

Hays

AI Solution Architect

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 4, 2026
Experience: 8+ years of progressive IT experience with at least 5 years focused on solution, application, or integration architecture.
Posting language: English
Posted: Oct 5, 2026

Original job description

AI Solution Architect

Job Type: Permanent

Salary: $150,000-$175,000 + Bonus + Comprehensive Benefits

Location: Downtown Toronto, ON (Hybrid, 3 days onsite)

Your New Company

Our client is a leading Canadian financial services organization undergoing significant digital transformation and AI-driven innovation. As the organization expands its AI capabilities, they are investing in modern cloud platforms, agentic AI frameworks, enterprise data solutions, and next-generation customer experiences. This is an opportunity to join a highly collaborative architecture team that plays a critical role in delivering enterprise-scale technology initiatives across customer, risk, finance, treasury, and regulatory domains.

Your New Role

As an AI Solution Architect, you will be a senior individual contributor within the Solutions Architecture team, responsible for designing, documenting, and delivering solution-level architecture for initiatives requiring AI, agentic, and machine learning capabilities.

You will translate business requirements into practical solution designs, defining application architecture, integration patterns, cloud services, data flows, security controls, and technology selections for strategic programs and projects. Unlike enterprise architecture roles focused on standards and governance, this position is centred on solving specific business and technology challenges while ensuring alignment with established enterprise frameworks.

Working across multiple concurrent initiatives, you will architect AI and agentic solutions leveraging Microsoft Azure and, where required, Google Cloud Platform technologies. You will collaborate closely with Enterprise Architecture, Data Governance, Cyber Security, AI Centres of Excellence, delivery teams, and business stakeholders to ensure solutions are secure, scalable, compliant, and ready for production.

Key responsibilities include:

Designing end-to-end AI, agentic, application, and integration architectures for enterprise initiatives.
Creating architecture deliverables including component diagrams, sequence diagrams, integration models, data flow diagrams, and technical design documents.
Defining API-driven, event-driven, and cloud-native integration patterns.
Architecting AI solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, Vertex AI, Gemini Enterprise Agent Platform, and related technologies.
Designing stateful, multi-agent workflows utilizing LangGraph, LangChain, and LangSmith.
Developing secure AI solution patterns including RBAC, managed identities, private networking, observability, guardrails, and governance controls.
Evaluating emerging AI platforms, tools, and vendors through proof-of-concept initiatives.
Presenting architecture designs to governance forums and incorporating stakeholder feedback.
Providing technical mentorship and guidance to development teams, analysts, and other architects.
Supporting strategic programs involving customer data, integration modernization, AML, risk, finance, and treasury platforms.

You'll Need to Succeed:

Bachelor's degree in Computer Science, Computer Engineering, or a related discipline.
8+ years of progressive IT experience with at least 5 years focused on solution, application, or integration architecture.
Proven experience designing and delivering enterprise solutions from architecture through implementation.
Strong expertise in Microsoft Azure cloud services, including Azure AI Foundry, Azure OpenAI, API Management, Azure AI Search, networking, managed identities, and enterprise integration services.
Experience architecting AI and agentic solutions within Azure and/or Google Cloud Platform environments, including Vertex AI, Gemini Enterprise Agent Platform, Agent Builder, Agent Engine, and BigQuery.
Hands-on experience with LangGraph, LangChain, LangSmith, and modern AI orchestration frameworks.
Deep understanding of retrieval augmented generation (RAG), AI gateways, vector databases, prompt orchestration, and multi-agent architectures.
Knowledge of modern software architecture patterns including microservices, REST APIs, event-driven architectures, and cloud-native application design.
Strong understanding of security architecture, IAM, networking, private endpoints, governance, and compliance requirements.
Experience integrating enterprise solutions with modern data platforms such as Microsoft Fabric, Synapse, Power BI, or BigQuery.
Working knowledge of Responsible AI, AI governance, and regulatory considerations within highly regulated environments.
Excellent communication skills with experience presenting architecture solutions to technical governance and executive stakeholders.
Financial services or banking industry experience is strongly preferred.

Preferred Certifications:

Microsoft Certified: Azure Solutions Architect Expert
Azure AI Engineer Associate
Google Cloud Professional Machine Learning Engineer
Related cloud or AI architecture certifications

What You'll Get in Return

You will join a forward-thinking organization investing heavily in AI, cloud transformation, and enterprise modernization. In return, you will receive:

Competitive compensation package with bonus eligibility
Comprehensive health and wellness benefits
Retirement savings program
Flexible hybrid work environment
Exposure to enterprise-scale AI and agentic transformation initiatives
Opportunities to work with emerging AI technologies and industry-leading cloud platforms
Ongoing professional development and certification support
A collaborative and high-performing architecture team environment

What You Need to Do Now:

If you're interested in this role, click "Apply Now" to submit your updated resume for consideration.

This posting is for an existing vacancy with the organization.

AI may be used to screen, assess, or select applicants for this position.

Apply About employer

More about this job

Responsibilities

Design and document end-to-end AI, agentic, application, and integration architectures for enterprise initiatives, including cloud services, data flows, security controls, and technology choices. Evaluate AI platforms, present designs to governance stakeholders, and guide delivery teams while supporting strategic programs across customer, risk, finance, treasury, and regulatory domains.

Requirements

Requires a bachelor's degree in computer science, computer engineering, or a related discipline, at least eight years of IT experience, and five or more years in solution, application, or integration architecture. Candidates should have strong Azure and AI architecture expertise, hands-on experience with agentic frameworks and RAG, knowledge of security and governance in regulated environments, and excellent stakeholder communication skills; financial services experience is strongly preferred.

Skills

Solution Architecture
Microsoft Azure
Azure AI Foundry
Azure OpenAI
Google Cloud Platform
Vertex AI
Agentic AI
LangGraph
LangChain
LangSmith
Retrieval-Augmented Generation
Multi-Agent Architectures
Cloud-Native Architecture
Enterprise Integration
Security Architecture
Responsible AI

Benefits

Bonus Eligibility
Comprehensive Health And Wellness Benefits
Retirement Savings Program
Flexible Hybrid Work Environment
Professional Development And Certification Support

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Azure
Azure AI Foundry
Azure OpenAI
Azure AI Search
Azure API Management
Google Cloud Platform
Vertex AI
Agent Builder
Agent Engine
BigQuery
LangGraph
LangChain
LangSmith
Retrieval-Augmented Generation
Vector Databases
AI Gateways
Multi-Agent Workflows
REST APIs
Microservices
Event-Driven Architecture
Cloud-Native Architecture
Managed Identities
Private Networking
Role-Based Access Control
Microsoft Fabric
Azure Synapse
Power BI
Responsible AI
AI Governance

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