Find work in Canada.

321,461 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 9 mins ago
Senior Software Engineer, Mortgage Engineering
Questrade Financial Group
Toronto, ON
We’re looking for our next Senior Software Engineer. Could It Be You?
Added 10 mins ago
KG
Reliability Engineer
Kinross Gold Corporation
Toronto, ON
- Full-time
Founded in 1993, Kinross is a Canadian-based senior gold mining company with operations and projects in the United States, Brazil, Mauritania, Chile and Canada. Our focus on delivering…
Added 10 mins ago
AW
Software Development Engineer II, S3 Shard Store
Amazon Web Services (AWS)
Vancouver, BC
- Full-time
…existing code, improve operational tooling, collaborate with senior engineers to design new components that shape the future of the system, and build expertise in specific areas of the…
Added 10 mins ago
K
Senior Data Engineer – Modeling / Python / PySpark
Kelly
Mississauga, ON
- Contract
We are seeking a Senior Data Engineer to design, develop, and implement scalable data solutions and processing pipelines. The ideal candidate will have strong hands-on experience in data…
Added 42 mins ago
DI
Senior IT Security Engineer
Draganfly Inc.
Burnaby, BC
- $120,000 to $140,000 CAD / year
- Full-time
The Senior IT Security Engineer builds, operates, and improves security across Draganfly’s cloud-first IT environment. This hands-on role combines Microsoft 365 and cloud security…
Added 42 mins ago
T
Senior Data Engineer
TekRek
Montreal, QC
- $140,000 to $160,000 CAD / year
- Full-time
As a Senior Data Engineer, you'll own data platform design and delivery for client engagements, from scoping and architecture through to production. You'll work directly with client…
Added 58 mins ago
GM
Senior Software Engineering - Protocol Operations & Trust
General Motors
Markham, ON
- Full-time
We are looking for a hands-on Software Engineer to turn complex simulation-testing challenges into production-ready software. Working closely with operations and engineering teams, you will…
Added 1 hour ago
BC
Senior Manager, Data & AI
BDO Canada
Vancouver, BC
- Full-time
BDO Digital’s Vancouver office is looking for a Senior Manager to join our Data & AI Consulting Practice team and own the following responsibilities:
Added 1 hour ago
R&
Senior Azure Cloud Platform Engineer
Robertson & Company Ltd.
Toronto, ON
- Contract
Robertson is seeking a skilled Senior Azure Cloud Platform Engineer to join our client in support of an existing vacancy.
Added 1 hour ago
CS
Java developer
Cyber Space Technologies LLC
Montreal, QC
- Full-time
Added 1 hour ago
KG
Senior Java Low Latency Developer (Payments & Trading Platforms)
K&K Global Talent Solutions INC.
Mississauga, ON
- Full-time
We are seeking an experienced Senior Java Low Latency Developer to join our Payments Processing Development team and help drive the evolution of our next-generation exchange connectivity…
Added 1 hour ago
TC
Senior Java Low Latency Developer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $120,000 CAD / year
- Full-time
We are seeking an experienced Senior Java Low Latency Developer to join our Payments
Added 1 hour ago
Senior Staff Software Engineer
Diligent Corporation
Vancouver, BC
As a Senior Staff Software Engineer on Diligent's Platform AI team, based out of our technical center of excellence in Vancouver, you will drive the architecture and technical direction of…
Added 1 hour ago
Security Technology Analyst
University of Toronto
Toronto, ON
…policy requirements to users, technical staff, managers, and senior stakeholders at varying levels of technical…
Added 1 hour ago
P
Senior AI Engineer
Perceptic
Engineer, BC
- Full-time
We are hiring Senior AI Engineers who have shipped real AI product experiences. We mean people who have built AI products, broken them in production, fixed them, and shipped them to users…
Added 1 hour ago
P
Senior DevOps Engineer
Perceptic
Engineer, BC
- Full-time
We're hiring a Senior DevOps Engineer to build and run that infrastructure with us. You'll take real ownership from day one across our own platform and the isolated customer environments…
Added 2 hours ago
L
Full Stack Engineer
Leyton
AB · Alberta, Canada
- €30,000 to €50,000 EUR / year
- Full-time
For the Senior Engineer role, we are looking for:
Added 2 hours ago
H
AI Solutions Architect
Hays
Toronto, ON
- Contract
The AI Solution Architect is a senior individual contributor within the Solutions Architecture team, responsible for designing, documenting, and delivering solution-level architecture for…
Added 2 hours ago
W
Senior Electrical Engineer - Mission Critical & Data Centers
WSP
Toronto, ON
- Full-time
Join our Mission Critical & Data Centers team and help shape the future of digital infrastructure across Canada. As a Senior Electrical Engineer, you will provide technical leadership on…
Added 2 hours ago
C
Senior Embedded Software Engineer, RLS
Ciena
Ottawa, ON
- Full-time
Added 2 hours ago
M-
Développeur Logiciel Principal.e, Plan de Contrôle - Laboratoire d'IA Souveraine
Mila - Institut québécois d'intelligence artificielle
Montreal, QC
- Full-time
As Staff Software Engineer, Control Plane, you will own the software through which administrators configure, govern, and understand the assembled stack. Reporting to the Senior Director of…
Added 2 hours ago
Agentic AI Software Backend & Platform Engineer
Siemens
Kitchener, ON
We are seeking a Backend & AI Engineer, for Siemens Digital Industries Operations Software to help build and scale our Agentic AI platform. The role focuses on solid backend engineering,…
Added 2 hours ago
Dynamics/Powerplatform engineer
Capgemini
Montreal, QC
We are looking for a Senior Microsoft power platform Engineer, who is familiar with AI Builder and Co-Pilots as well as Dynamics and Power Apps. The ideal candidate will have experience…
Added 2 hours ago
P
Software Engineer, AI
Pebl
Remote, Canada
- $109,200 to $140,000 CAD / year
- Full-time
- Remote
Comfort working collaboratively in a remote, fast-paced environment, and a genuine desire to grow into a senior backend engineer.
Added 2 hours ago
Software Development Engineer II, S3 Shard Store
Amazon
Vancouver, BC
…existing code, improve operational tooling, collaborate with senior engineers to design new components that shape the future of the system, and build expertise in specific areas of the…

BMO

Senior Platform Engineer, AI & Fabrics

Toronto, ON, Canada
FCP, Canada

$70,000.00 - $150,000.00

Apply About employer

Applications open in a new tab.

Job details

Pay: $70,000.00 - $150,000.00
Apply by: Dec 31, 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

Application Deadline:

12/30/2026

Address:

100 King Street West

Job Family Group:

Technology

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

You will design, implement, and operate core platform infrastructure for enterprise AI, including gateways, policy engines, and observability tools. You will also collaborate with squads to ensure AI workloads are secure, governed, and compliant with regulatory standards.

Requirements

Candidates must have a bachelor's degree in a technical discipline and at least 5 years of experience in software or platform engineering. Proficiency in cloud-native development, distributed systems, and hands-on experience with production operations are required.

Skills

Platform engineering
Python
Go
AWS
Azure
Kubernetes
Terraform
CI/CD
GitOps
API design
Distributed systems
Policy-as-code
OpenTelemetry
Identity management
GenAI
Software engineering

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

Platform Engineering
AI Gateway
Policy Engine
Identity Fabric
AI Registry
Guardrails
Observability
AWS
Azure
Python
Go
Kubernetes
Terraform
GitOps
CI/CD
OpenTelemetry
Cedar
OPA
SPIFFE
SPIRE
GenAI
RAG
LLM
API
Distributed Systems
Compliance
Governance
Financial Services
Software Engineering
Infrastructure as Code

Report this job