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Added 13 mins ago
QW
DevOps Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
We are hiring for Azure Terraform Devops engineer who has experience with CDK for Terraform (CDKTF) and IAC.
Added 15 mins 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 30 mins ago
Bilingual Senior Specialist, Software Engineering (Environment Management)
CMHC - SCHL
Ottawa, ON · Montreal, QC
A Microsoft Certification as a DevOps Engineer Expert and/or Azure Administrator Associate.
Added 30 mins 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 43 mins ago
AI
Senior AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Contract
We are seeking a Senior AWS Data Engineer with 12+ years of hands-on experience designing, developing, and supporting enterprise-scale data platforms on AWS. The ideal candidate will be a…
Added 43 mins ago
PL
Infrastructure Engineer – Network, Security & IoT/OT
PineQ Lab Technology
Montreal, QC
- Contract
Job Title: Infrastructure Engineer – Network, Security & IoT/OT
Added 43 mins ago
T
IAM (SailPoint) Software Engineer
Teamrecruiter.com
Ottawa, ON
- Contract
We are seeking an experienced IAM Software Engineer to design, develop, implement, and support secure Identity and Access Management (IAM) solutions across the organization. The successful…
Added 1 hour ago
RD
Full Stack Engineer
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Agile & DevOps: Actively participate in Agile ceremonies, maintain CI/CD pipelines, manage code via source control (GitHub/Confluence), and champion contemporary DevOps principles.
Added 1 hour ago
RH
Java Software Engineer
Robert Half
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
We are helping a growing and highly innovative financial services organization with a new Java Engineer to join their Payments Technology team. This is an exciting opportunity for a…
Added 1 hour ago
ZS
DevOps Engineer with (GitHub Actions) for Fulltime Opporrtunity
Zodiac Solutions, Inc
Halifax, NS
- Full-time
Role: DevOps Engineer with (GitHub Actions) or Platform Engineer with AI
Added 1 hour ago
Site Reliability Engineer, AI Observability
Appnovation Technologies
Toronto, ON · Montreal, QC
We’re looking for a Site Reliability Engineer to keep a shared observability platform for LLM-based applications running for a global life sciences client. The platform is built on Langfuse…
Added 1 hour ago
Senior Software Engineer, Full-Stack Applications - Python
Fitch Group
Toronto, ON
Senior Software Engineer, Full-Stack Applications – Python
Added 1 hour ago
M
Senior Cloud Engineer -Hybrid
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Are you passionate about building scalable, secure, and modern cloud solutions? We're looking for a Senior Cloud Engineer who can combine deep technical expertise with business insight to…
Added 1 hour ago
SI
Lead SDET
Spruce InfoTech Inc.
Vancouver, BC
- Contract
QA Automation Lead Engineer (SDET – Python) role focused on building and maintaining scalable automation frameworks with strong Python and Pytest framework.
Added 5 hours ago
C
Senior DevOps Engineer, Canada
Crypto.com
Canada
- Full-time
As a Senior Devops Engineer, you will be involved a number of technically challenging problems, oversees design and coding for features. This position will be working very closely in…
Added 6 hours ago
A
Database Platform Engineer
AppDirect
Montreal, QC
- Full-time
…and acquisitions, and partner closely with Cloud Platform, DevOps, and product engineering so teams get fit-for-purpose data stores that are secure by…
Added 6 hours ago
PT
Software Engineer
Purelend Technologies Inc.
Calgary, AB
- Full-time
We're hiring a Software Engineer to join our core product team and own meaningful chunks of the platform end-to-end. This isn't a role where you get handed a Jira ticket and a fully-specced…
Added 9 hours ago
A
Manager, Software Engineering
AltaML
Toronto, ON
- Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 10 hours ago
M
Security Engineer II - Identity and Access Management
Marqeta
Remote, Canada
- Full-time
- Remote
We’re seeking an experienced Security Engineer II with a strong passion for Identity and Access Management (IAM) and expertise in cloud-native environments, particularly AWS. You'll build,…
Added 11 hours ago
T
Quality Engineer II (VMS)
TD
Toronto, ON
- Full-time
Effectively engineer and leverage tools and Engineering practices (DevOps tools and processes, source code management, Service Virtualization, monitoring tools, etc.)
Added 12 hours ago
KG
DevOps Engineer
Kongsberg Geospatial Ltd
Ottawa, ON
- Full-time
Our team is growing and we’re looking for a DevOps Engineer to support the engineering development operations through driving the advancement of our technical processes, frameworks, and…
Added 13 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are seeking a position of AI Engineer role for Citi based in Mississauga, ON, Canada. The role focuses on designing, building, and deploying Python-based AI/LLM applications and scalable…
Added 13 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are seeking a position of AI Engineer role for Citi based in Mississauga, ON, Canada. The role focuses on designing, building, and deploying Python-based AI/LLM applications and scalable…
Added 13 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are seeking a position of AI Engineer role for Citi based in Mississauga, ON, Canada. The role focuses on designing, building, and deploying Python-based AI/LLM applications and scalable…
Added 13 hours ago
M
Senior Software Engineer - Card Network Integration
Marqeta
Remote, Canada
- Full-time
- Remote
Marqeta is seeking a skilled Senior Software Engineer to join the Network File Integration team. In this role, you will help design and deliver scalable software solutions for batch and…

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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