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Fire Protection Design Engineer - Associate Principal
TalentSphere Staffing Solutions
Toronto, ON
Full-time
We are working with a growing consulting engineering firm in Toronto looking for an experienced Fire Protection Engineer to step into an Associate-level role and play a meaningful role in…
Bilingual Senior AWS Platform Engineer
KPMG Canada
Vaughan, ON
Full-time
We are seeking a Senior AWS Platform Engineer to manage platform-level activities across two AWS Organizations. The role is focused on AWS platform administration, Terraform-led automation,…
Bilingual Senior AWS Platform Engineer
KPMG Canada
Oakville, ON
Full-time
We are seeking a Senior AWS Platform Engineer to manage platform-level activities across two AWS Organizations. The role is focused on AWS platform administration, Terraform-led automation,…
Bilingual Senior AWS Platform Engineer
KPMG Canada
Hamilton, ON
Full-time
We are seeking a Senior AWS Platform Engineer to manage platform-level activities across two AWS Organizations. The role is focused on AWS platform administration, Terraform-led automation,…
Bilingual Senior AWS Platform Engineer
KPMG Canada
Montreal, QC
Full-time
We are seeking a Senior AWS Platform Engineer to manage platform-level activities across two AWS Organizations. The role is focused on AWS platform administration, Terraform-led automation,…
Bilingual Senior AWS Platform Engineer
KPMG Canada
Boisbriand, QC
Full-time
We are seeking a Senior AWS Platform Engineer to manage platform-level activities across two AWS Organizations. The role is focused on AWS platform administration, Terraform-led automation,…
Bilingual Senior AWS Platform Engineer
KPMG
Hamilton, ON · Oakville, ON · Montreal, QC · Boisbriand, QC · ON · Vaughan, Ontario · Toronto, Ontario
Full-time
We are seeking a Senior AWS Platform Engineer to manage platform-level activities across two AWS Organizations. The role is focused on AWS platform administration, Terraform-led automation,…
Sr. Cloud Platform Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
$103,000 to $153,000 CAD / year
Full-time
Reporting to the Sr. Manager, Cloud Platform, the Sr. Cloud Platform Engineer will be responsible for designing, maintaining and supporting cloud infrastructure and operations for HOOPP’s…
Added 2 days ago
Oracle EDQ Platform Engineer
J&M Group
Brampton, ON
Contract
Azure Data Engineer Associate or Azure Solutions Architect
Sr. Cloud Platform Engineer (Network and Cloud Operations)
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
$103,000 to $153,000 CAD / year
Full-time
Reporting to the Sr. Manager, Cloud Platform, the Sr. Cloud Platform Engineer will be responsible for designing, maintaining and supporting cloud infrastructure and operations for HOOPP’s…
Crypto Platform Engineer
Scotiabank
Toronto, ON
Provide technical mentorship to Senior Associate Crypto Platform Engineers, sharing best practices for working with Crypto Operations and Application teams.
Senior Artificial Intelligence Platform Engineer & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-time
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…
Platform Engineer, Support - 9 Month Contract
Woodbine Entertainment
Toronto, ON · Woodbine HQ
Full-time
The role of the Platform Engineer, Support is to provide technical assistance, troubleshooting, and maintenance support for applications and associated databases
Systems Engineer Associate
Lockheed Martin
Ottawa, ON
Full-time
The candidate will participate as a Systems Engineering member of the Naval Development team in a multi-disciplined team environment working on the total engineering life cycle from…
Senior ML Engineer, ML Platform - GFT
RBC
Vancouver, BC
Full-time
AWS Certified Machine Learning Engineer Associate, or Certified Solution Architect Associate, or CloudOps/SysOps Engineer Associate
Senior ML Engineer, ML Platform - GFT
Royal Bank of Canada
Vancouver, BC
Full-time
AWS Certified Machine Learning Engineer Associate, or Certified Solution Architect Associate, or CloudOps/SysOps Engineer Associate
Principal Engineer, AI Platform
BMO
Toronto, ON · BMOPLACE
Full-time
BMO is building the platform capabilities that make enterprise AI safe, governed, and scalable. We are seeking experienced Principal/Senior engineers to build and operate the core…
Senior Data Engineer, Data Platform & Operations
Westland Insurance Group Ltd.
Surrey, BC
Full-time
We're searching for a Senior Data Engineer, Data Platform & Operations. Are you searching for new possibilities?
Senior Data Engineer, Data Platform & Operations
Talent Acquisition Team at Westland Insurance. Text reply only.
Surrey, BC
We're searching for a Senior Data Engineer, Data Platform & Operations. Are you searching for new possibilities?
Associate Software Engineer
Canon Medical Informatics
Waterloo, ON
Full-time
We’re hiring an Associate Software Engineer for our Kitchener, Ontario office. In this role, you’ll work alongside experienced engineers to design, build, test, and support software…
Added 19 hours ago
Associate Cloud Engineer
Aptiv
Ottawa, ON
Full-time
As an Associate Cloud Engineer, you will join Wind River's Cloud Platform Engineering team and contribute to the development of cloud-native infrastructure solutions that power…
Added 19 hours ago
Associate Cloud Engineer
Aptiv
Ottawa, ON · ON
Full-time
As an Associate Cloud Engineer, you will join Wind River's Cloud Platform Engineering team and contribute to the development of cloud-native infrastructure solutions that power…
Associate Data Engineer
Cooke Aquaculture Inc.
Saint John, NB
Full-time
Cooke is continuing to mature its digital strategy through modern data platforms, integrated data pipelines, and enterprise data standards that support operations, processing, distribution,…
Sr Associate Software Engineer - Applied AI
Amgen
Burnaby, BC
Full-time
As a Sr Associate Software Engineer, you will be an integral member of the Applied AI – AI Productivity/Custom GPT Solutions Practice team, which empowers Amgen teams and staff members to…
Associate Process Engineer (12 month contract)
Aspect Biosystems
Vancouver, BC
$64,000 to $72,000 CAD / year
We're looking for an enthusiastic Associate Process Engineer to join our dynamic and dedicated Process Development team. Reporting to the Head of Process Development, you will support the…

BMO

Senior Artificial Intelligence Platform Engineer & Fabrics

Toronto, ON, Canada
BMOPLACE, Canada

Pay: $75,900.00 - $141,900.00
Job type: Full-time
Apply by: Sep 30, 2026
Experience: 5+ years of software/platform engineering experience, including hands-on experience building and operating production services.
Posting language: English
Posted: Aug 24, 2026

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Original job description

Application Deadline:

09/29/2026

Address:

33 Dundas 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:

$75,900.00 - $141,900.00

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.

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More about this job

Responsibilities

You will design, implement, and operate core enterprise AI platform infrastructure including gateways, policy engines, and observability tools. You are responsible for writing production code, building integrations, and ensuring AI workloads run securely and within regulatory compliance.

Requirements

Candidates must have a Bachelor's degree in a technical discipline and at least 5 years of software or platform engineering experience. Proficiency in Python or Go, cloud-native development, and experience with distributed systems or security infrastructure is required.

Skills

Platform engineering
Python
Go
Kubernetes
Terraform
Cloud-native development
AWS
Azure
CI/CD
GitOps
API design
Distributed systems
Policy-as-code
Observability
Identity management
GenAI

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Platform Engineering
AWS
Azure
Python
Go
Kubernetes
Terraform
Policy-as-code
OpenTelemetry
GitOps
API Gateway
Identity Fabric
GenAI
Distributed Systems
CI/CD
DevSecOps
Financial Services
Regulatory Compliance
Infrastructure as Code
SPIFFE
SPIRE
Cedar
OPA
LLM
RAG
Bedrock
Azure OpenAI
MLflow
LangChain

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