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Added 5 mins ago
TS
Architect - Azure/Terraform- Cloud Platform Engineer
TECONICA SOFTWARES
Toronto, ON
- Contract
We are seeking a highly hands-on Azure Platform Engineer with strong experience designing, implementing, and supporting enterprise-scale Microsoft Azure cloud platforms.
Added 5 mins ago
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Artificial Intelligence Engineer
Gala Solutions
Montreal, QC
- Contract
…principles and drives efficiency and consistency, controls security and strong governance, and promotes innovation, enabling teams to build applications that leverage AI capabilities and…
Added 5 mins ago
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IAM Engineer - PingFed - 8+ Years Must
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Toronto, ON
- Contract
IAM Engineer – Java/Python to support with Single Sign On implementations, Employee PingFed
Added 7 mins ago
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Saskatoon, SK
- Full-time
We are looking for an Environmental Engineer to join our Environment in our Regina or Saskatoon office. In this role you will primarily assist our environmental team and work directly with…
Added 7 mins ago
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AB · Edmonton, AB
- Full-time
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Added 9 mins ago
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Able to acquire and maintain Transport Canada security clearance (RAIC)
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…validation of the SAP solution supporting logistics modules in an engineer to order…
Added 35 mins ago
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Process Engineer
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Saskatoon, SK
- Full-time
This is a career-defining opportunity for an ambitious and technically strong Process Engineer to join one of Canada's most exciting new uranium developments and play a pivotal role in…
Added 35 mins ago
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Senior Solution Designer
SRA Group
NB · New Brunswick, Canada
- $85 to $90 CAD / hour
- Contract
Establish best practices for data architecture, governance, security, scalability, and performance.
Added 35 mins ago
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Senior Long-Term Mining Engineer, Underground
Agnico Eagle Mines Limited
Dobie, ON
- Full-time
Added 37 mins ago
WI
Graduate Project Engineer or Geoscientist
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St. Catharines, ON
- Full-time
Eligibility for registration and active progress toward becoming a Professional Engineer with Professional Engineers Ontario or a Professional Geoscientist with Professional Geoscientists…
Added 37 mins ago
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Senior Google Cloud Data Engineer
CGI
Halifax, NS
- Full-time
Ensure data quality, governance, security, and operational reliability.
Added 37 mins ago
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Lead Data Engineer
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Toronto, ON
- Full-time
Establish data governance practices to maintain data accuracy, integrity, and security.
Added 37 mins ago
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Senior Production Engineer Scheduling
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…Global Head of Automation Services in EMEA, the production Engineer will be accountable for the technical support as well as the projects delivery for the Production and non-production…
Added 39 mins ago
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Principal Cloud Engineer
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Toronto, ON · BMOPLACE
- Full-time
We are seeking an enthusiastic, passionate professional for a Principal Cloud Engineer position with 8+ years of experience in multiple large scale Azure enterprise environments. We are…
Added 39 mins ago
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Make your mark while you grow your career! Are you a safety conscious Process Engineer with a passion to work in an operating environment? Canadian Natural is looking for you. You will be…
Added 39 mins ago
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…computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing…
Added 55 mins ago
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Building Infrastructure Project Manager
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Sainte-Anne-de-Bellevue, QC
- Full-time
…works, HVAC systems, electrical systems, telecommunications, security, and equipment maintenance) in all MDA Space buildings located in the Montreal area. He or she ensures compliance with…
Added 1 hour ago
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Senior Maintenance Engineer
The Mosaic Company
Esterhazy, SK
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The Maintenance Engineer provides in depth support for plant facilities mechanical or electrical systems (rotating and stationary) to increase the facility's overall reliability. Tasks…
Added 1 hour ago
TR
3rd Class Power Engineer
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Trail, BC
- $45.56 to $50.41 CAD / hour
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Teck Resources Limited is looking for a motivated and fully certified Third Class Power Engineer at our Trail Operations. Reporting to the Shift Leader, the Power Engineer is responsible…
Added 1 hour ago
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Geotechnical Engineer ***Signing Bonus May Apply***
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Toronto, ON
- Full-time
Becoming a qualified conductor or locomotive engineer is the single best way for a management employee to learn the business at CPKC. You may be required to obtain a certification or to…
Added 1 hour ago
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Geotechnical Engineer ***Signing Bonus May Apply***
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Added 1 hour ago
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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.

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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

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