Find work in Canada.

319,804 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 11 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
CI/CD using Jenkins or GitHub Actions, DevOps/GitOps.
Added 11 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
CI/CD using Jenkins or GitHub Actions, DevOps/GitOps.
Added 11 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
CI/CD using Jenkins or GitHub Actions, DevOps/GitOps.
Added 11 hours ago
M
Senior Software Engineer - Card Network Integration
Marqeta
Remote, Canada
- Full-time
- Remote
Marqeta is seeking a skilled Senior Software Engineer to join the Network File Integration team. In this role, you will help design and deliver scalable software solutions for batch and…
Added 16 hours ago
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON · FCP
You are a hands-on engineer with a strong production track record who takes ownership of your components, cares about operability and correctness, and collaborates well within your team.…
Added 16 hours ago
S
Senior DevOps Engineer – AI & Data Platform
Systematix
Canada
- Contract
We are Systematix and we are currently looking for a Senior DevOps Engineer – AI & Data Platform to help modernize and automate the engineering practices supporting a rapidly growing…
Added 16 hours ago
TH
Frontend Software Engineer (senior)
Teumo Health Technologies Inc.
Vancouver, BC
- Full-time
Knowledge of version control systems (GitHub or SVN), CI/CD tools (Jenkins), and DevOps practices for continuous integration/deployment workflows.
Added 16 hours ago
B
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
You are a hands-on engineer with a strong production track record who takes ownership of your components, cares about operability and correctness, and collaborates well within your team.…
Added 16 hours ago
Senior Specialist, Software Engineering (CI/CD & Automation Engineering)
CMHC - SCHL
Ottawa, ON · Montreal, QC
Strong hands-on experience with CI/CD platforms (Azure DevOps, GitHub Actions) and familiarity with integrating security and testing into CI/CD workflows.
Added 17 hours ago
TS
Azure Architect
TECONICA SOFTWARES
Toronto, ON
- Contract
Absolutely. Based on the request in the image, I’d reposition this as a Microsoft Azure Platform Engineer / DevOps Engineer role rather than a Terraform-heavy generic DevOps role.
Added 17 hours ago
A
Senior AI Platform Engineer (MLOps)
Akkodis
Toronto, ON
- Contract
Experience with GitHub Actions, Jenkins, Azure DevOps, or similar CI/CD technologies
Added 18 hours ago
AL
Full Stack Engineer
Artech L.L.C.
Mississauga, ON
- $70 to $80 CAD / hour
- Contract
…Experience using modern AI-assisted development tools such as GitHub Copilot, Devin, or similar tools is highly…
Added 19 hours ago
A
AI Platform Engineer / Halifax, NS (Onsite – 4 Days) - FTE
AceStack
Halifax, NS
- Full-time
This role sits within DevOps/Platform Engineering and focuses on building the reusable platform, agents, tools, skills, and automation that development teams can leverage across the…
Added 19 hours ago
RB
Lead Data Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Are you a hands-on data platform engineer who thrives on building cloud-native, high-scale data platforms and enabling teams on top of them? Come join us!
Added 21 hours ago
BS
GCP Cloud Engineer
BULL-IT SOLUTIONS LTD
Toronto, ON
- Full-time
GCP Infrastructure & Cloud SRE Engineer - • GCP Professional Cloud Architect/DevOps Engineer certification.• Banking/Financial Services domain experience.Key responsibilities• Build and…
Added 21 hours ago
C
Lead Java Developer, Vice President
Citi
Mississauga, ON
- Full-time
…(TDD), and GenAI-powered developer productivity tools (e.g., GitHub Copilot) to accelerate delivery and enhance code…
Added 22 hours ago
CT
Senior Java Software Engineer
Coelate Technologies
Montreal, QC
- $50 to $55 CAD / hour
- Contract
Tools & DevOps: Proficiency with Git, CI/CD pipelines (Jenkins, GitLab, or GitHub Actions), Maven/Gradle, and Docker.
Added 22 hours ago
R
Lead Data Engineer
RBC
Toronto, ON
- Full-time
Are you a hands-on data platform engineer who thrives on building cloud-native, high-scale data platforms and enabling teams on top of them? Come join us!
Added 1 day ago
J
DevOps Engineer, New Grad
Jobright.ai
Canada
- Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 1 day ago
B
AI Specialist
BrainFinance
Montreal, QC
- Full-time
We are seeking an experienced DevOps Engineer to join our team, with a specialization in Google Cloud Platform serverless architecture.
Added 1 day ago
KC
Site Reliability Engineer
KPMG Canada
Kitchener, ON
- Full-time
The OPS Site Reliability Engineer will be a focal role owning and ensuring the fluent operations of Managed Services offerings in the KPMG production cloud environment. The role will be…
Added 2 days ago
MT
Professional Services Consultant
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
- Full-time
…handover packs, diagrams and support-ready information. Azure DevOps / GitHub Working knowledge: repositories, branching concepts, pull requests, work items, boards and practical project…
Added 2 days ago
S
Patient Experience iCare Exchange Integrations Engineer
Sanofi
Toronto, ON
- Full-time
Position Title: Patient Experience iCare Exchange Integrations Engineer
Added 3 days ago
AI
DevSecOps Engineer - Bitbucket to GitHub Migration
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
DEVSECOPS ENGINEER: BITBUCKET TO GITHUB MIGRATION
Added 3 days ago
T
Software Engineer I
TD
Toronto, ON
- Full-time
As a Software Engineer in the onboarding and compliancy team in business banking, you will contribute to the delivery and support of OBNC capabilities by owning engineering work across…

BMO

Senior Platform Engineer, AI & Fabrics

Toronto, ON, Canada

$70,000.00 - $150,000.00 · Part-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $70,000.00 - $150,000.00
Job type: Part-time
Apply by: Nov 4, 2026
Experience: 5+ years of software/platform engineering experience, including hands-on experience building and operating production services.
Posting language: English
Posted: Oct 5, 2026

Original job description

Hybrid Work Model

BMO is building the platform capabilities that make enterprise AI safe, governed, and scalable. We are seeking experienced Senior Engineers to help build and operate the core infrastructure that governs how AI runs at BMO: the AI Gateway, Policy Engine, Identity Fabric, AI Registry, Guardrails Runtime, and AI Observability.

This is a build-and-run engineering role. You will design, implement, and operate significant components of these platform capabilities; writing production code, building integrations, and helping run what you. You will not build the AI models or applications themselves (those are domain-owned); you help build the governed platform they run on and the runtime evidence that proves they run within policy, across AWS, Azure, and Microsoft AI surfaces, under OSFI and OCC expectations.

You are a hands-on engineer with a strong production track record who takes ownership of your components, cares about operability and correctness, and collaborates well within your team. You work within technical direction and standards set by the team's Principal Engineers and Leads, contribute to design discussions, and mentor more junior engineers. You are energized by hardening and scaling real engineering assets; an existing developer portal, an AI registry, a body of policy-as-code, and gateway integrations into enterprise-grade capabilities.

What You'll Build & Operate

Working within one of the platform squads, you will build and operate components of one or more of the following:

Enterprise AI Control Plane

Portal & Registry: features of the AI Registry (agents, models, tools, channels, evaluations), self-service onboarding flows, and lifecycle workflows; integrations with external registries.
Policy Engine: components of the policy-as-code infrastructure (Cedar/OPA), the compilation pipeline, GitOps-based distribution, and the policy simulation sandbox.
Observability & Audit: telemetry pipeline components, OpenTelemetry GenAI instrumentation, trace correlation, and audit-lake ingestion supporting regulator-ready evidence.
Governance & Lifecycle: certification workflow components, compliance-scoring automation, and evidence-generation tooling.

AI Domain Orchestration

Gateway Runtime: components of the inline enforcement engine: request-time policy evaluation, routing, residency, budget/quota, and circuit breaking, built to strict latency budgets; domain-hub deployment across AWS and Azure.
Guardrails Runtime: stages of the safety pipeline (input moderation, prompt-injection defense, PII, output validation, hallucination detection, policy enforcement), including bilingual EN/FR support.
Identity Fabric: components of workload identity for AI (SPIFFE/SPIRE), token-exchange flows, trust-boundary configuration, Entra Agent ID integration, and cross-cloud token federation.

Note on scope: Two of these platforms (Identity Fabric, Policy Engine) are built with AI as the incubation context but are designed to transition to bank-wide ownership at maturity.

What You'll Do

Own and deliver components/features within your squad's capability, design (with guidance), implement, test, ship, and help operate in production.
Participate in on-call for the services your team runs.
Build APIs, MCP Servers, integrations, and tooling through which domains, DevOps pipelines, and enterprise systems consume platform capabilities.
Write clean, well-tested, well-instrumented code; build operability in from the start (metrics, tracing, SLO-aware design).
Ensure your components produce the runtime evidence connecting AI activity to policy enforcement, identity, and lineage for model-risk and regulatory review.
Contribute to design discussions and technical decisions, applying standards and patterns set by Principal Engineers and Leads.
Mentor junior engineers and collaborate actively across the squad.
Partner day-to-day with AI Developer Experience, AI Security, and AI SDLC counterparts as needed to deliver your work.

Education & Experience

Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline (Master's an asset).
5+ years of software/platform engineering experience, including hands-on experience building and operating production services.
Experience with production operations (deployments, monitoring, incident response, on-call), ideally in a regulated industry (financial services an asset).
Hands-on depth in at least one of: API/gateway services; policy-as-code/authorization; workload identity/security; observability/telemetry; audit/data platforms.

Required Core Skills

Platform Engineering Foundations

Solid software-engineering fundamentals: clean, tested, maintainable code; API design; and an understanding of distributed-systems concepts (latency, resilience, availability).
Strong programming skills (Python and/or Go preferred; TypeScript/Java an asset) for building services, APIs, and integrations.
Working proficiency in cloud-native development on AWS and/or Azure: containers/Kubernetes and Infrastructure as Code (Terraform, CloudFormation/ARM).
Practical CI/CD, GitOps, and DevSecOps experience; Git-based workflows (Bitbucket/GitHub), Jira, Confluence.

Capability-Specific Depth (one or more)

Policy/Authorization: Cedar, OPA/Rego, or comparable authorization systems.
Identity/Security: SPIFFE/SPIRE, mTLS, OAuth/OIDC, token exchange, or federated identity.
Observability/Audit: OpenTelemetry, distributed tracing, Dynatrace/Splunk or equivalents, immutable/audit data stores.
Gateway/Guardrails: API gateway usage/development, LLM routing/abstraction, prompt-injection/PII defenses, or AI evaluation.
Registry/Portal: service catalogues, asset registries, lifecycle/onboarding workflows.

GenAI & Governance Context

Working knowledge of GenAI platform patterns (LLM/AI gateways, RAG, agentic patterns, embeddings, guardrails) sufficient to build supporting infrastructure.
Familiarity with AI/ML tooling (Bedrock, Azure OpenAI, SageMaker, MLflow) and orchestration frameworks (LangChain, LlamaIndex) an asset.
Awareness of Responsible AI, AI/data governance, privacy, cloud security, and IAM as applied to AI workloads.

Certifications (Preferred)

AWS Certified Solutions Architect – Associate (Professional an asset) / ML – Specialty
Microsoft Certified: Azure AI Engineer Associate / Azure Solutions Architect Expert

Salary:

$70,000.00 - $150,000.00

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 About employer

More about this job

Responsibilities

Build, test, deploy, and operate components of BMO’s governed AI platform, including its registry, policy engine, gateway, guardrails, identity fabric, and observability capabilities. Develop integrations and APIs, support production operations and on-call, and ensure platform services generate evidence of policy enforcement, identity, and AI activity for regulatory review.

Requirements

Requires a bachelor’s degree in computer science, software engineering, or a related technical discipline, plus at least five years of software or platform engineering experience building and operating production services. Candidates need strong programming and distributed-systems fundamentals, cloud-native experience with AWS and/or Azure, and hands-on depth in at least one relevant area such as policy, identity, observability, audit, gateways, or guardrails.

Skills

Platform Engineering
Python
Go
AWS
Azure
Kubernetes
Terraform
CI/CD
GitOps
Policy-as-Code
Cedar
OPA/Rego
SPIFFE/SPIRE
OAuth/OIDC
OpenTelemetry
API Gateway Development

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 Gateway
Policy Engine
Identity Fabric
AI Registry
Guardrails Runtime
AI Observability
AWS
Azure
Kubernetes
Python
Go
TypeScript
Java
Terraform
CloudFormation
Cedar
OPA/Rego
SPIFFE/SPIRE
OAuth/OIDC
OpenTelemetry
GitOps
DevSecOps
Bedrock
Azure OpenAI
SageMaker
MLflow
LangChain
LlamaIndex
Responsible AI
OSFI

Report this job