Find work in Canada.

332,580 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 8 mins ago
Domain Enterprise Architect
Nutrien
Calgary, AB
Full-time
The Domain Enterprise Architect - Downstream is accountable for the architecture of Nutrien's Retail and grower-facing business domain. The role connects business strategy, customer and…
Added 8 mins ago
Enterprise Architect
Nutrien
Calgary, AB
Full-time
The Enterprise Architect - Applications & ERP defines and maintains Nutrien’s enterprise application and ERP architecture direction. The role creates a transparent view of the application…
Added 38 mins ago
Senior Security Solution Architect - Tangerine
Scotiabank
Toronto, ON
The Senior Security Solutions Architect plays a key role in helping Tangerine design and deliver secure technology solutions. This role provides security architecture guidance across cloud,…
Added 38 mins ago
Architecte de solutions SAP MM / SAP Solution Architect MM
Syntax
Thornhill, ON
Syntax is seeking an experienced SAP S/4HANA Solution Architect specializing in Materials Management (MM) to lead the design, implementation, and optimization of end-to-end SAP solutions.…
Added 1 hour ago
Digital Architect (GOAPRDJP00000987) – 5 Resources
Amyantek
Canada
Contract
A Digital Architect provides architectural expertise and strategic guidance and is responsible for overseeing the software architecture of digital services, the alignment of services to a…
Added 1 hour ago
Technical Architect- AI
Mphasis
Toronto, ON
Full-time
We are seeking a highly experienced AI Architect to lead the design, architecture, and implementation of enterprise-scale Generative AI solutions on Google Cloud Platform (GCP). The ideal…
Added 1 hour ago
SAP Technical Architect
Makwa Resourcing Inc.
Canada
Contract
Develop high-level solution architectures and target-state architectures, including integration flows, system responsibilities, data exchanges, interface requirements, and non-functional…
Added 1 hour ago
GPU Solutions Architect
Hypertec Group
Montreal, QC
Full-time
Hypertec is seeking a GPU Solutions Architect to join our Hypertec Solutions Partner team in Montreal, Quebec. If you are motivated, collaborative, and aligned with our values, we would…
Added 3 hours ago
Databricks Architect
Querentia
Canada
Contract
We are seeking a Databricks Architect to design, implement, and govern enterprise data platforms on Azure Databricks. The role focuses on platform architecture, workspace provisioning, data…
Added 3 hours ago
Senior Integration Architect
Infotree Global Solutions
Toronto, ON
Contract
Solution Architecture & Development - End-to-end design and deployment of complex multi-step Recipes and Boomi processes for performance and scale.
Added 3 hours ago
PSR Enterprise Architect – TM Forum / eTOM
N2P Systems
ON · Ontario, Canada
Contract
…a Future Mode of Operations (FMO) advisor, ensuring PSR and solution designs align with target Business, Data, Application, Integration, and Process…
Added 3 hours ago
Sr SAP SuccessFactors Engineer
Galactic Minds INC
Toronto, ON
Contract
We are seeking an experienced SAP SuccessFactors Architect with 8-10 years of overall IT experience, including significant experience in SAP SuccessFactors implementation, integration, and…
Added 3 hours ago
Senior Outcomes Consultant /Architecte principal(e) des résultats
Diabsolut
Canada
Full-time
Dans le cadre de la croissance continue de Diabsolut, l’Architecte des résultats (Outcomes Architect) est un rôle stratégique de niveau senior responsable de concevoir et de piloter la mise…
Added 4 hours ago
Solutions Architect (Enterprise AI)
Flatgigs
Montreal, QC
Full-time
You will lead technical and solution conversations from early discovery through solution definition, proposal and handover. You must be equally comfortable speaking with a CIO, business…
Added 4 hours ago
SAP SUCCESSFACTOR ARCHITECT
InfiCare Staffing
Toronto, ON
Contract
Investigate and resolve complex incidents, data issues, configuration defects, integration-related data errors, and process failures within agreed SLAs, working closely with the support…
Added 4 hours ago
SAP Success Factor Architect
InfiCare Staffing
Toronto, ON
Contract
We are seeking an experienced SAP SuccessFactors Senior Consultant / Architect with strong hands-on experience in SAP SuccessFactors implementation, integration, solution architecture, and…
Added 4 hours ago
SAP SuccessFactors Architect
InfiCare Staffing
Vancouver, BC
Contract
Investigate and resolve complex incidents, data issues, configuration defects, integration-related data errors, and process failures within agreed SLAs, working closely with the support…
Added 4 hours ago
Sr SAP SuccessFactors Engineer - Toronto / Vancouver (Canada)
InfiCare Staffing
Vancouver, BC
Contract
We are seeking an experienced SAP SuccessFactors Architect with 8-10 years of overall IT experience, including significant experience in SAP SuccessFactors implementation, integration, and…
Added 5 hours ago
AI Engineer
Urban Ridge Supplies
Guelph, ON
Full-time
…by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability and performance. This role works closely with solution architects and platform…
Added 5 hours ago
AI Native Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
…compute at a task creates step-change value, and then build the solution: sometimes that's an agent, sometimes it's a deterministic internal app, sometimes it's a combination. Knowing which…
Added 5 hours ago
Founding Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Architect Custom AI Agents: Design, build, and deploy bespoke AI agents that integrate seamlessly with customer systems and the Docebo Agent Hub.
Added 5 hours ago
Senior AI Engineer, IT Solutions 1
Urban Ridge Supplies
Toronto, ON
Full-time
We are seeking a highly motivated and technically proficient AI Engineer to join our growing Data & Analytics team. In this role, you will be a key liaison between business stakeholders and…
Added 5 hours ago
Senior Applied AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Architect and build GenAI-powered applications for Wealth management use cases.
Added 5 hours ago
AI Platform Engineering Lead
Urban Ridge Supplies
Toronto, ON
Full-time
…technical teams to connect AI workloads to governed enterprise data, ensuring every deployed agent and model is identified, permissioned, monitored, and auditable. Platform scope include…
Added 5 hours ago
Staff Software Engineer / Architect - AI, CoCounsel FDE
Urban Ridge Supplies
Toronto, ON
Full-time
Thomson Reuters is looking for a Staff Software Engineer / Architect – AI to join our CoCounsel Forward Deployed Engineering team.

AGF Investments

AI Platform Engineering Lead

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 23, 2026
Posting language: English
Posted: Sep 23, 2026

Apply About employer

Applications open in a new tab.

Original job description

About AGF:

Founded in 1957, AGF Management Limited (AGF) is an independent and globally diverse asset management firm. Our companies deliver excellence in investing in the public and private markets through three business lines: AGF Investments, AGF Capital Partners and AGF Private Wealth.

AGF brings a disciplined approach, focused on incorporating sound, responsible and sustainable corporate practices. The firm’s collective investment expertise, driven by its fundamental, quantitative and alternative investing capabilities, extends globally to a wide range of clients, from financial advisors and their clients to high-net worth and institutional investors including pension plans, corporate plans, sovereign wealth funds, endowments and foundations.

Headquartered in Toronto, Canada, AGF has investment operations and client servicing teams on the ground in North America and Europe. AGF serves more than 820,000 investors. AGF trades on the Toronto Stock Exchange under the symbol AGF.B.

About the Team:

AGF is building an enterprise-wide Artificial Intelligence capability to improve client outcomes, investment performance, operational effectiveness, and employee productivity. Through its AI Centre of Expertise (AI CoE), AGF is establishing the governance, technology, talent, and operating model needed to responsibly scale AI across the organization.

As part of this strategy, AGF is creating a team of Forward Deployed AI Engineers who will work at the intersection of business strategy, technology, and AI innovation to identify, build, and deploy solutions that create measurable business value. Initial priorities will focus on Investment Management and Distribution, with expansion across all business functions over time.

About the Role:

The AI Platform Engineering Lead is the senior technical authority for how AI is built at AGF. Reporting to the VP, Technology Services, the role defines the blueprints that AI solutions follow, owns the platforms those solutions run on, and provides the engineering environment, tooling, and guardrails that allow AI teams to move quickly without compromising security, cost control, or compliance.

The role works closely with AI Forward Deployed Engineers and other technical teams to connect AI workloads to governed enterprise data, ensuring every deployed agent and model is identified, permissioned, monitored, and auditable. Platform scope include but are not limited to Databricks, Microsoft Copilot Studio, Azure AI Foundry, Anthropic Claude, and Microsoft Agent 365. This is a hands-on role. The successful candidate will spend meaningful time in code, configuration, and architecture, designing reference implementations, building the first version of shared components, and resolving integration and access issues, while also setting standards, mentoring other engineers, evaluating platforms, and advising senior leadership. It is a senior role carrying technical leadership responsibility, intended for an engineer-architect who is energized by building a new capability from a blank page and who is comfortable making decisions with incomplete information in a fast-moving technology landscape.

Why Join AGF?

This is a unique opportunity to help shape AGF's AI future from the ground up.

You will have the opportunity to influence strategy, drive business outcomes, build enterprise-scale solutions, and help establish AI as a core capability across AGF.

Your Responsibilities:

AI Architecture & Blueprints:

Define and maintain the reference architecture for AI and agentic solutions at AGF, covering agent design patterns, retrieval-augmented generation, orchestration, memory and state, tool and API access, model selection, and human-in-the-loop controls.
Produce blueprints, reference implementations, and decision guides that engineering teams can apply directly, rather than architecture documents that require interpretation.
Establish platform and model selection criteria, and make clear recommendations on where each platform is the right choice and where it is not.
Maintain a forward-looking roadmap for AI platforms, assessing new capabilities, deprecations, and vendor direction, and translating them into a practical plan for AGF.
Lead architecture and design reviews for AI solutions built by the AI Engineers and business teams.
Set the target state for AI solution cost, performance, latency, and resilience, and design to it.

AI Platform Ownership & Engineering:

Own the technical configuration, evolution, and operational health of AGF's AI platforms, including Databricks, Azure AI Foundry, Microsoft Copilot Studio, and Anthropic Claude.
Evaluate, pilot, and onboard new AI platforms, models, and tooling across commercial, hosted, and open-source options.
Manage model access, entitlements, quotas, regions, and data residency configuration across providers.
Implement gateway, routing, caching, and rate-limiting patterns that control consumption cost and give engineers a consistent interface to model providers.
Establish cost transparency for AI consumption, with monitoring, budgets, and alerting by team and by use case.
Provide observability for AI workloads: tracing, prompt and response logging, quality and drift monitoring, usage analytics, and incident diagnostics.
Own the engineer onboarding experience so that a new developer can be productive in days rather than weeks.
Design and operate the promotion process for AI assets, including prompts, agents, models, indexes, notebooks, and applications, through development, test, and production.
Implement CI/CD pipelines and infrastructure as code for AI workloads, with automated testing, approval gates, and rollback.
Define environment strategy, workspace structure, and separation of duties consistent with AGF's change management and audit requirements.
Ensure AI solutions meet enterprise standards for availability, monitoring, alerting, support handover, and disaster recovery.
Work with Technology Services operations teams to bring deployed AI solutions into established support and incident management processes.
Define how AI workloads consume governed data, including lakehouse patterns, Unity Catalog governance, vector and feature stores, embedding pipelines, and lineage.
Provide the engineering path that moves a promising prototype onto governed, production-grade data.
Implement agent governance and lifecycle management covering registration, ownership, entitlement, monitoring, retention, and decommissioning
Provide expert technical guidance on complex projects, foster a culture of innovation, and elevate the team's capabilities in building robust AI solutions.
Act as the technical counterpart to the AI Engineers, run an AI engineering community of practice.
Build and lead a small AI platform engineering team as adoption scales.

Your Qualifications:

Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, Information Technology, or a related discipline.
Minimum 7 years of experience in software engineering, platform engineering, data engineering, or solution architecture
Minimum 3 years of hands-on experience designing and delivering generative AI, agentic, or machine learning solutions
Demonstrated ownership of a shared engineering platform or developer environment used by multiple teams.
Experience establishing engineering standards, CI/CD, and release governance in a regulated or audited environment.
Track record of building a capability from the ground up, including tooling selection, vendor evaluation, and first-of-kind implementations.
Experience partnering with security, risk, and compliance functions to bring new technology into controlled production use.
Experience operating in fast-paced environments with evolving priorities.
Financial services, investment management, wealth management, or capital markets experience is considered a strong asset.

Technical Skills:

Required:

Azure architecture and services, including Azure AI Foundry, Entra ID, networking, and key and secret management.
Databricks, including lakehouse architecture, Unity Catalog governance, jobs, and workflows.
Microsoft Copilot Studio and the Microsoft 365 and Power Platform extensibility model.
Anthropic Claude and other frontier model APIs, including their enterprise deployment and safety controls.
Azure DevOps, GitHub, CI/CD pipelines, infrastructure as code such as Terraform or Bicep, and modern DevOps practice.
Strong hands-on software engineering with advanced Python, and working knowledge of at least one additional language relevant to enterprise integration.
Agent frameworks and orchestration, tool and function calling, and multi-agent design patterns.
Experience with Microsoft SQL server and related database technology
Retrieval-augmented generation, embeddings, vector search, and context engineering at enterprise scale.
Prompt engineering, model evaluation, and AI testing and observability tooling.
Application and data security architecture, including secrets management and data classification.

Preferred:

MLOps and LLMOps tooling, and model lifecycle management.
Knowledge graphs, semantic layers, and metadata management.
Containerized and cloud-native application delivery, including Kubernetes and serverless patterns.
FinOps practices applied to cloud and AI consumption.
Relevant certifications such as Azure Solutions Architect, Databricks Data Engineer or Architect
Familiarity with investment management, trading, research, or client servicing platforms and data.
Microsoft Agent 365, Entra Agent ID, and Microsoft Purview.

Leadership Competencies:

Exceptional problem-solving and analytical abilities.
Strong stakeholder management and relationship-building skills.
Ability to influence and drive outcomes without direct authority.
Strong communication and presentation skills.
Product-oriented mindset focused on measurable business outcomes.
Curiosity, adaptability, and a passion for continuous learning.
Ability to operate effectively in ambiguous and rapidly evolving environments.
Sound judgment balancing innovation with governance, security, and risk considerations.

Success Measures:

Reliability, security, and compliance of AI solutions in production, with no material audit or risk findings.
Engineer productivity and satisfaction with the AI development environment.
Contribution to the growth, maturity, and credibility of AGF's AI capability.
Business value delivered through deployed AI solutions.
Contribution to revenue-generating and growth-enabling initiatives.
Operational stability, reliability, and maintainability of solutions.
Reuse of developed components and engineering patterns.
Contribution to the growth and maturity of AGF's AI capability.

Compensation:

The anticipated compensation range for this role is $130,000 – $180,000 annually, which represents base salary and, where applicable, variable compensation components (e.g., annual bonus, commissions, etc.). Actual compensation will be determined based on many factors such as role location, candidate experience / qualifications, market conditions, and internal equity.

AGF aims to offer a comprehensive and competitive total rewards package designed to support the success and well-being of our employees, which may include a combination of base salary, variable compensation, benefits, and retirement savings plans.

No unsolicited agency referrals please. 

AGF is an equal opportunity employer committed to fostering an inclusive and accessible workplace. We welcome and encourage applications from individuals of all backgrounds, including women, Indigenous peoples, racialized persons, persons with disabilities, and members of the 2SLGBTQIA+ community.

We do not discriminate on the basis of race, national or ethnic origin, colour, religion, age, sex, sexual orientation, gender identity or expression, marital status, family status, disability, or any other status protected by applicable legislation.

We are committed to providing reasonable accommodations for applicants with disabilities throughout the recruitment process. If you require accommodation at any stage of the application or hiring process, please contact us at hr@agf.com so that appropriate arrangements can be made.

# R11328

Apply About employer

More about this job

Responsibilities

Define AGF’s AI architecture, engineering standards, and platform roadmap, and own the configuration, security, cost management, observability, and operational health of its AI platforms. Build shared components and delivery processes, guide AI solution teams, and lead the growth of the AI platform engineering team.

Requirements

Requires a bachelor’s degree in a relevant discipline, at least seven years of experience in software, platform, or data engineering or solution architecture, and at least three years of hands-on generative AI, agentic AI, or machine learning delivery experience. Candidates should bring strong Azure, Databricks, Python, AI platform, DevOps, security, and governance expertise, with experience building shared platforms and working in regulated environments.

Skills

Azure Architecture
Databricks
Microsoft Copilot Studio
Azure AI Foundry
Anthropic Claude
Python
AI Platform Engineering
AI Architecture
Agentic AI
Retrieval-Augmented Generation
CI/CD
Infrastructure as Code
MLOps and LLMOps
AI Governance
Cloud Security
Technical Leadership

Benefits

Variable Compensation
Benefits
Retirement Savings Plans

Visa sponsorship

Not detected in the job text

Keywords

Azure
Azure AI Foundry
Microsoft Entra ID
Databricks
Unity Catalog
Microsoft Copilot Studio
Anthropic Claude
Microsoft Agent 365
Python
Microsoft SQL Server
Terraform
Bicep
Azure DevOps
GitHub
CI/CD
Infrastructure as Code
Generative AI
Agentic AI
Retrieval-Augmented Generation
Vector Search
Embeddings
Agent Orchestration
Prompt Engineering
AI Observability
MLOps
LLMOps
FinOps
Data Governance
Investment Management
Financial Services

Report this job