Find work in Canada.

319,696 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 11 mins ago
CO
Traffic Engineer
City of Calgary
Calgary, AB
- $115,464 to $144,330 CAD / year
- Full-time
…equity, diversity, inclusion, anti-racism and reconciliation. Applications are encouraged from members of groups that are historically disadvantaged and underrepresented. Accommodations are…
Added 11 mins ago
CO
Planning Engineer, River Engineering
City of Calgary
Calgary, AB
- $115,464 to $144,330 CAD / year
- Full-time
…equity, diversity, inclusion, anti-racism and reconciliation. Applications are encouraged from members of groups that are historically disadvantaged and underrepresented. Accommodations are…
Added 12 mins ago
GC
Senior Geotechnical Engineer (26030)
GEMTEC Consulting Engineers and Scientists Limited.
Hanwell, NB
- Full-time
We are seeking a full-time Senior Geotechnical Engineer in our Fredericton, New Brunswick office. The successful candidate will work with multidisciplinary teams on unique and challenging…
Added 12 mins ago
E
Azure Cloud Engineer
ELITS
Remote, Canada
- Full-time
- Remote
ELITS Canada is looking for an experienced Azure Cloud Engineer for a remote consulting assignment based in Canada. Candidates must be authorized to work in Canada and able to perform the…
Added 26 mins ago
NF
Data Engineer
Nature Fresh Farms
Leamington, ON
- $75,000 to $100,000 CAD / year
- Full-time
3–5+ years of hands-on experience as a Database Administrator, Data Engineer, or in a similar data-focused role, including direct support of data pipelines for large-scale applications.
Added 26 mins ago
RH
Product Manager
Robert Half
Mississauga, ON
- $85,000 to $95,000 CAD / year
- Full-time
…working directly with customers to understand their equipment, applications, and technical requirements. The successful candidate will help define new products and solutions, translating…
Added 27 mins ago
Senior Data Scientist I
Bell
Toronto, ON
The Cloud Capability: Extensive hands-on knowledge of Google Cloud Platform (GCP); holding a GCP Professional Machine Learning Engineer certification is a massive bonus!
Added 27 mins ago
UO
Assistant Professor - Aerospace Engineering (Aeronautics)
University of Toronto
Toronto, ON
- $135,000 to $160,000 CAD / year
…Science and Engineering at the University of Toronto invites applications for a full-time tenure stream position in Aerospace Engineering with a research focus broadly in aeronautics. The…
Added 27 mins ago
UO
Assistant Professor, Teaching Stream - Aerospace Engineering
University of Toronto
Toronto, ON
- $125,000 to $150,000 CAD / year
…Science and Engineering at the University of Toronto invites applications for a full-time teaching stream position in Aerospace Engineering. The appointment will be at the rank of Assistant…
Added 42 mins ago
LC
Senior Analytics Engineer
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Lightspeed's Data Office is hiring a Senior Analytics Engineer to design and own the data models that drive decisions across financial performance, GTM activities, and product insights.…
Added 42 mins ago
LC
Senior Analytics Engineer
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Lightspeed's Data Office is hiring a Senior Analytics Engineer to design and own the data models that drive decisions across financial performance, GTM activities, and product insights.…
Added 42 mins ago
Senior Software Engineer, Data Platform
Okta
Toronto, ON
Hands-on experience in developing Data Integration applications for large scale (petabyte scale) environments with experience in both batch and online systems.
Added 1 hour ago
WI
Senior Technical Director - Tailings, Waste Dumps and Stockpiles
WSP in Canada
AB · Edmonton, AB
- Full-time
WSP welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Added 1 hour ago
I
systems integration engineer - software
iSteer
Toronto, ON
- Full-time
Added 1 hour ago
NS
Senior Applied AI Engineer
Network Solutions
Canada
- Full-time
We are looking for a hands on Senior Applied AI Engineer who combines strong software engineering with practical AI problem solving. You will build production AI experiences across Network…
Added 1 hour ago
SJ
Software Engineer
So Jobs
Toronto, ON
- $202,000 to $231,000 USD / year
- Full-time
Lead the craftsmanship, availability, resilience and scalability of applications within the Software Studio
Added 1 hour ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
…platform for the age of AI, powering a new class of data-first applications and driving a data…
Added 1 hour ago
HG
Senior Structural Engineer
Humankind Global Recruitment
Bedford, NS
- Full-time
We have partnered with DesignPoint who are seeking an experienced Senior Structural Engineer to join their team in Bedford, Nova Scotia. The successful candidate will have opportunities to…
Added 2 hours ago
W
Full-Stack Engineer
Wiraa
Canada
- Full-time
We are seeking a highly skilled Full-Stack Engineer (Frontend - React) to join our dynamic technology team. In this role, you will be responsible for developing and maintaining robust…
Added 3 hours ago
C
Senior DevOps Engineer, Canada
Crypto.com
Canada
- Full-time
…involved in the design of various components behind scalable applications, from frontend UI to backend…
Added 3 hours ago
P
Senior Security Engineer
PheedLoop
Toronto, ON
- Full-time
Comfort in modern stacks like Python / Django, React, and AWS. You don't need to be a senior software engineer, but you can read application code, understand a deployment pipeline, and…
Added 3 hours ago
F
Director, Technical Support - Cybersecurity
Fortra
Canada
- Full-time
…resolution time, SLA attainment, backlog aging, case deflection, engineer productivity, and customer…
Added 3 hours ago
G
Senior Software Developer, Mobile (iOS), Platforms and Devices
Google
Waterloo, ON
- Full-time
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 3 hours ago
AI
Senior Software Engineer-React Native
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 4 hours ago
A
Database Platform Engineer
AppDirect
Montreal, QC
- Full-time
We are looking for a Database Platform Engineer to join our Data Platform team. You are a highly technical professional with an entrepreneurial spirit and a data-as-a-service mindset. You…

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