Jobs in Canada

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Added 2 months ago
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AI Architect
HCLTech
Vancouver, BC
- $100,000 to $110,000 CAD / year
- Full-time
…convert business requirements into scalable and effective AI solutions. He will bridge the gap between complex business challenges and scalable, production-ready AI…
Added 2 months ago
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AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Work closely with the Enterprise Architect to design and implement solutions that align with the platform capabilities roadmap
Added 2 months ago
Senior ML Kernel Performance Engineer
Amazon
Toronto, ON
…high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of…
Added 2 months ago
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Senior Consultant, Artificial Intelligence - NowAssist
Deloitte
Toronto, ON
- Full-time
Architect and implement AI-driven solutions such as virtual agents, predictive intelligence, and automation workflows within ServiceNow.
Added 2 months ago
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Manager - Azure AI Engineering
Deloitte
Toronto, ON
- Full-time
Integration with data platforms (Fabric, Databricks, ADLS)
Added 2 months ago
TA
Data Architect (Knowledge Graph & Data Governance)
Tiger Analytics
Toronto, ON
- Full-time
We are looking for Forward Deployed Engineer (FDE) - Data Architect, who will directly engage with cross-functional business, AI, and engineering teams to design and deploy scalable,…
Added 2 months ago
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Lead AI Architect
McKesson
Mississauga, ON
- Full-time
Hybrid role requiring 2 days per week in-office at either our Ville Saint-Laurent (QC) or Mississauga (ON) location
Added 2 months ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
We need ML technologists who see greenfield opportunities as fuel rather than fear - whether you're an ML architect ready to design intelligent systems from first principles, an AI…
Added 2 months ago
EG
AI - Full Stack Engineer
Emterra Group
Remote, Canada
- $110,000 to $120,000 CAD / year
- Full-time
- Remote
…lead the design, development, and deployment of AI-powered solutions built on the Microsoft Azure platform, while also contributing to full stack application development across the…
Added 3 months ago
MS
Architecte de solutions IA | AI Solutions Architect
Manos Software Group
Montreal, QC
- Full-time
Manos Software is looking for an AI Solutions Architect, someone who can design, build, and ship AI agent systems that either transform how our portfolio companies operate or become…
Added 2 months ago
Senior Solutions Architect, ISV Canada
Amazon
Toronto, ON
…innovate and transform their business. We are seeking a Senior Solutions Architect to serve as a credible technical leader and strategic advisor, helping customers architect solutions to…
Added 2 months ago
PG
AI Engineer
Pinpoint Global Communications
Canada
- Full-time
Ensure SOC 2 compliance, data residency controls, and deterministic execution through policy-as-code agentic governance
Added 2 months ago
PC
Salesforce Technical Manager
Pwc Canada
Toronto, ON · Vancouver, BC
- Full-time
Lead technical delivery teams of 5-10 developers on complex Salesforce implementations and architect end-to-end solutions - from data model design to integration patterns to AI agent…
Added 2 months ago
FG
Software Engineer, Full-Stack Applications Associate Director (Ratings Technology)
Fitch Group, Inc.
Toronto, ON
- Full-time
…enhance mission-critical applications that power the workflows, analytics, and decision-making processes used by analysts across a world-leading credit ratings organization. As a member of…
Added 3 months ago
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Technical Architect
Mphasis
Toronto, ON
- Full-time
Must have Structural thinking and goal-oriented approach to problem-solving
Added 2 months ago
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AI Transformation Lead
BiblioCommons
ON · Canada - Ontario
- Full-time
Nice to have: experience as a technical founder, solutions architect, or operator; advanced degree in a relevant field.
Added 2 months ago
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Sr Data Scientist II
LexisNexis
Toronto, ON
- Full-time
We are looking for a Senior Data Scientist II with deep expertise in Generative AI, Retrieval-Augmented Generation (RAG), and agentic AI systems, combined with strong software-engineering…
Added 2 months ago
N
Staff DevOps Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
…scale. You understand what it takes to keep production ML and data workloads fast, observable, and resilient - from GPU-backed training and inference clusters to the pipelines that connect…
Added 2 months ago
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Backend AI Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
…Forward Deployed Engineers embed with customers to deliver solutions on the ground, this role builds the systems that make those solutions possible at scale: model-serving pipelines,…
Added 5 months ago
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Senior Manager/Director, Google Gemini Enterprise - Data & AI
KPMG
ON · Toronto, Ontario
- Full-time
Architect end-to-end Gemini Enterprise solutions, covering data integration & grounding, agentic workflows, and security/compliance frameworks
Added 2 months ago
T
AI Account Director
TheAppLabb
ON · Toronto, Ontario
- Full-time
Direct Leadership Access: You will work closely with our VP of AI Engineering, Principal AI Solutions Architect, Chief AI Strategy Officer, and the CEO.
Added 2 months ago
M(
Senior Applied Machine Learning Engineer - Asset Intelligence
MaintainX (An Autodesk Company)
Remote, Canada
- $123,000 to $180,000 CAD / year
- Full-time
- Remote
Architect end-to-end ML systems - from data ingestion and feature development to model training, deployment, and monitoring.
Added 2 months ago
M
Director Data Engineering
McKesson
Mississauga, ON
- Full-time
Must have a strong customer and quality focus
Added 2 months ago
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Principal Architect, AI Platform
BMO
Toronto, ON · BMOPLACE
- Full-time
…capabilities including Developer Experience, Security, DevOps, and Data Analytics. You will work across teams and organizations to bring a cohesive and integrated AI Platform build and…
Added 3 months ago
HT
Java Software Architect
High Tech Genesis
Lasalle, ON
- Contract
The successful candidate will define scalable technical solutions, establish architecture patterns, guide engineering teams, and ensure systems are designed for performance, reliability,…

BMO

Principal Architect, AI Platform

Toronto, ON, Canada
BMOPLACE, Canada

$94,600.00 - $176,000.00 · Full-time

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Job details

Pay: $94,600.00 - $176,000.00
Job type: Full-time
Posting language: English
Posted: Aug 24, 2026

Original job description

Application Deadline:

10/29/2026

Address:

33 Dundas Street West

Job Family Group:

Technology

Senior AI Architect

Description

BMO is establishing a dedicated AI Engineering function, and this role is its singular architectural authority. We are seeking a deeply experienced architect to own architectural coherence for AI across BMO's cloud and workspace estates - spanning AWS, Azure, Microsoft 365, and SaaS AI surfaces, and two regulatory regimes (OSFI, OCC).

You will hold architectural oversight across the AI Platform capabilities including Developer Experience, Security, DevOps, and Data Analytics. You will work across teams and organizations to bring a cohesive and integrated AI Platform build and operations. You will set the architectural direction that keeps teams working on Enterprise AI initiatives aligned, prevent the fragmentation and rework, and serve as the standing architectural authority to the Microsoft AI Council, preparing decisions for ratification and escalating unresolved matters to Engineering leadership and Enterprise Architecture.

You bring the technical depth to earn credibility with principal engineers, the judgment to make defensible architectural decisions under ambiguity, and the influence to align senior leaders on architectural directions.

The Mandate

Singular architectural oversight across the AI Engineering function and across Cloud AI and Workspace Engineering for all AI surfaces.
Standing architectural authority to the Microsoft AI Council: prepare cross-organizational architecture decisions for Council ratification, adjudicate Microsoft AI boundary questions, and evaluate preview features against bank governance. Enterprise Architecture serves as formal arbiter for unresolved disputes.
Architectural coherence across planes and platforms: ensure the Control Plane, Domain Orchestration, and domain-owned execution fit together into one coherent, governed architecture.
Regulatory-defensible architecture: ensure architectural decisions produce model-risk and regulatory evidence (OSFI E-23, OCC) at runtime, by design.

What You'll Do

Define and maintain the target AI architecture for the enterprise: reference architectures, architectural standards, and the guardrails that governed platform capabilities and domain workloads must conform to.
Set architectural direction across the function's Directors and squads (Platform & Fabrics, Developer Experience) and across sibling disciplines (Security, DevOps, Data Engineering), resolving competing approaches into a coherent whole.
Provide architectural governance for major AI initiatives: reviewing designs for coherence, scalability, security, cost, residency, Responsible AI, and regulatory fit and represent them at Architecture Review Board.
Own the architectural coherence of BMO's Microsoft AI surface (Copilot, Copilot Studio, Fabric Copilot, Microsoft Agent 365) across the two operating organizations, including the Three-Zone citizen governance framework and federation with the AI Registry.
Lead assessment of emerging AI capabilities, foundation models, and architectural approaches; translating rapid market change into deliberate, defensible architectural positions for the bank.
Partner with AI Platform & Fabrics to ensure platform capabilities (Gateway, Policy Engine, Identity Fabric, Registry, Guardrails, Observability) realize the target architecture, and with AI Developer Experience / Domain Solution Architects to ensure domain patterns conform to it.
Provide architectural mentorship and technical leadership to architects and principal engineers across the function, growing architectural capability and consistency.
Establish and steward the transition architecture for AI-incubated, bank-wide-eligible platforms (Identity Fabric, Policy Engine) as they mature toward enterprise ownership.

Education & Experience

Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline (Master's preferred).
10+ years in software engineering, solution architecture, and enterprise architecture, with substantial time at a principal/senior architect level setting direction across multiple teams.
3+ years focused on AI/ML and GenAI architecture, including hands-on exposure to production GenAI systems (RAG, agentic workflows, model serving, guardrails).
Demonstrated experience holding cross-team or cross-organizational architectural authority - setting standards others must follow, and aligning senior stakeholders without direct reporting lines.
Experience architecting AI in a regulated industry (financial services strongly preferred), with a working understanding of model-risk management and regulatory expectations (OSFI, OCC, or equivalent).

Required Core Skills

Architectural Authority & Leadership

Proven ability to establish architectural coherence across multiple teams and organizations: defining target-state architecture, standards, and governance that hold under contested decisions.
Executive presence and influence: the credibility to advise Directors and senior executives, the judgment to make defensible decisions under ambiguity, and the diplomacy to align organizations with different mandates.
Strong mentoring and technical leadership across architects and principal engineers; ability to raise the architectural bar across a function.
Skilled at chairing/supporting governance forums, preparing decisions for ratification, and managing structured escalation.

AI & Platform Architecture Depth

Deep AI/ML and GenAI solution architecture: RAG, agentic frameworks, prompt patterns, fine-tuning, foundation models, embeddings, and vector stores.
Strong grasp of AI platform architecture: AI gateways, policy-as-code/authorization (Cedar, OPA), workload identity and zero-trust (SPIFFE/SPIRE, federated identity), guardrails, and AI observability.
Multi-cloud architecture across AWS and Azure, plus Microsoft AI surfaces (M365 Copilot, Copilot Studio, Fabric, Agent 365); cloud security and IAM as applied to AI workloads.
Integration architecture connecting AI to enterprise systems via APIs, event-driven patterns, and data services.
Working knowledge of MLOps/LLMOps, CI/CD, and how architectural decisions translate into deployable, operable patterns.
Sufficient hands-on fluency (Python preferred) to prototype, evaluate approaches, and earn engineering credibility.

Governance & Responsible AI

Deep grounding in Responsible AI, AI/data governance, privacy, and evaluation/guardrail design.
Experience embedding regulatory and model-risk evidence requirements into architecture, produced at runtime rather than retroactively.

Certifications (Preferred)

One or more strongly preferred:

AWS Certified Solutions Architect – Professional; AWS Certified Machine Learning – Specialty
Microsoft Certified: Azure Solutions Architect Expert; Azure AI Engineer Associate
Google Cloud Professional Machine Learning Engineer
TOGAF or equivalent enterprise architecture certification
Relevant GenAI/LLM credentials

Other Skills

Strong interpersonal, communication, and facilitation skills across technical and business audiences.
A critical thinker with strong research, analytical, and problem-solving skills.
Self-directed, comfortable operating with broad mandate and ambiguity.
Able to work under tight timelines on complex, high-stakes decisions.

Salary:

$94,600.00 - $176,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Apply on bmo.wd3.myworkdayjobs.com About employer

More about this job

Responsibilities

The Principal Architect will provide singular architectural oversight for AI across BMO's cloud and workspace estates, ensuring coherence and regulatory compliance. They will define target AI architectures, set standards, and lead governance forums to align cross-organizational AI initiatives.

Requirements

Candidates must have a Bachelor's degree and over 10 years of experience in software and enterprise architecture, with at least 3 years focused on AI/ML and GenAI systems. Proven ability to lead cross-organizational architectural authority and experience in regulated industries like financial services is essential.

Skills

AI architecture
GenAI
Cloud architecture
Governance
Regulatory compliance
Leadership
Stakeholder management
Python
AWS
Azure
MLOps
LLMOps
Security architecture
Data engineering
Enterprise architecture
Strategic planning

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

AI Platform
GenAI
AWS
Azure
Microsoft 365
OSFI
OCC
RAG
Agentic workflows
Model serving
Guardrails
Architecture Review Board
Copilot
Fabric
Identity Fabric
Policy Engine
Observability
Python
MLOps
LLMOps
Zero-trust
SPIFFE
SPIRE
Cedar
OPA
TOGAF
Responsible AI
Data governance
Enterprise architecture
Cloud security

Seniority

Senior

Perks

Retirement plan
Tuition support

Tools

AWS
Azure
Microsoft 365 Copilot
Copilot Studio
Microsoft Fabric
Microsoft Agent 365
Python

Languages

English

Fields of study

Computer Science
Software Engineering

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Work requirements

Jobs in Canada