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Added 14 mins ago
Agentic AI Software Backend & Platform Engineer
Siemens
Kitchener, ON
…AI frameworks, connectivity platforms, semantic data models, cloud-native architectures, and industrial AI services that power autonomous, scalable, and intelligent operations across the…
Added 14 mins ago
CI
Student Intern, Aerospace & Defense
Celestica International LP
Toronto, ON
- $23 to $30 CAD / hour
…Celestica enables critical data center infrastructure for AI, cloud, and hybrid cloud and advances technologies in high-growth markets. Working with the world’s leading technology companies…
Added 14 mins ago
M
Senior Architect - Cybersecurity
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Experience with Cloud Native (12-Factor) Architecture and Infrastructure Patterns.
Added 42 mins ago
D
Lead AI .Net Developer
Digitive
Canada
- Contract
…C# and .NET Core, with a deep understanding of Architecture, cloud-native patterns, and building robust backend…
Added 43 mins ago
Senior Manager, Software Engineering
Questrade Financial Group
Toronto, ON
Extensive experience in Cloud native development of Microservices , specifically using Google Kubernetes Engine (GKE) and other Google Cloud Platform components.
Added 1 hour ago
KG
Enterprise Security Architect - Senior Security Engineer
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Drive adoption of Infrastructure-as-Code security, DevSecOps, and cloud-native security services.
Added 1 hour ago
RD
Full Stack Engineer
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Full Stack Developer & Senior Full Stack Developer (IoT & Cloud Solutions)
Added 1 hour ago
M
Senior Cloud Engineer -Hybrid
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Hands-on experience building and integrating RESTful APIs, web services, and cloud-native applications.
Added 1 hour ago
K
Senior Web Developer (Full Stack)
Klick
Toronto, ON
- Full-time
The Senior Web Developer builds and delivers production web experiences and supporting services for life sciences brands as part of Klick’s Full Stack + AI team. The role combines deep web…
Added 1 hour ago
TI
Test Lead - Healthcare
Teckhorizon Inc
Toronto, ON
- Contract
…Project, supporting the development and implementation of secure, cloud-native healthcare integration solutions. This role will lead end-to-end testing strategy, API validation, automation,…
Added 1 hour ago
ÉD
Postdoctoral Fellow – Automation and Decision Support, Distributed Systems and Multi-Agent Systems – C5I Centre
École de technologie supérieure
Montreal, QC
- $80,000 to $88,000 CAD / year
- Full-time
Knowledge of cloud-native technologies, microservices, containers, and DevSecOps practices.
Added 1 hour ago
ET
Terraform Solution Architect
Envision Technology Solutions
Toronto, ON
- Contract
· Cloud-Native Expertise: Deep understanding of Kubernetes and modern DevOps practices .
Added 1 hour ago
K
Senior Web Developer (Full Stack)
Klick
Toronto, ON
- Full-time
The Senior Web Developer builds and delivers production web experiences and supporting services for life sciences brands as part of Klick’s Full Stack + AI team. The role combines deep web…
Added 1 hour ago
E
Azure Cloud Engineer
ELITS
Remote, Canada
- Full-time
- Remote
…focus on Infrastructure as Code, Azure Kubernetes Service, developer enablement, and cloud platform excellence. You will help shape cloud architecture standards, improve automation, and…
Added 2 hours ago
B
Senior Greenfield Full Stack Developer (Builder)
Boeing
Vancouver, BC · Richmond, BC · CAN - Richmond, Canada
- Full-time
We're looking for an Senior Greenfield Full Stack Developer (Builder) who will help support the end-to-end software delivery. This is first and foremost grounded in Software Developers who…
Added 3 hours ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
…innovation, more openness, and the sky is the limit thinking in a cloud-enabled…
Added 4 hours ago
WN
Manager, Guidewire
WCB Nova Scotia
Dartmouth, NS
- Full-time
If you've ever looked at a tangled ecosystem of applications, integrations, releases, cloud services, and business processes and thought, "I can make this better," keep reading.
Added 6 hours ago
N
Director, Engineering
NielsenIQ
Toronto, ON
- $150,000 to $176,000 CAD / year
- Full-time
Guide the design, modernization, and operation of large-scale distributed systems, cloud-native services, APIs, and data-intensive product platforms.
Added 6 hours ago
A
Database Platform Engineer
AppDirect
Montreal, QC
- Full-time
This is a unique opportunity to build at the intersection of highly scalable, fault-tolerant data services and modern cloud infrastructure. You will take on complex technical challenges…
Added 6 hours ago
C
Full Stack .NET Developer (Angular & Cloud Technologies)
Cognizant
Halifax, NS
- Full-time
As a Full Stack .NET Developer, you will make an impact by designing, developing, and supporting scalable enterprise applications using modern Microsoft technologies, Angular, and cloud…
Added 9 hours ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Strong understanding of APIs, microservices architecture, and cloud-native development
Added 9 hours ago
NC
AI Software Developer
Newfoundland Capital Corporation Limited
Montreal, QC
- Full-time
Experience with cloud-native environments and containerized applications
Added 10 hours ago
M
Security Engineer II - Identity and Access Management
Marqeta
Remote, Canada
- Full-time
- Remote
…passion for Identity and Access Management (IAM) and expertise in cloud-native environments, particularly AWS. You'll build, automate and operate our identity security platforms, help shape…
Added 12 hours ago
B&
Lead, AI Engineering
Bain & Company
Zurich, ON
- Full-time
Build and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments with attention to observability and reliability
Added 13 hours ago
C
Java Integration Developer
CGI
Halifax, NS
- Full-time
CGI is seeking an experienced Java Integration Developer to join our growing team. In this role, you will design, develop, and support enterprise integration solutions that connect…

BMO

Senior Platform Engineer, AI & Fabrics

Toronto, ON, Canada
FCP, Canada

$70,000.00 - $150,000.00

Apply About employer

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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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