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Added 23 mins ago
BC
Senior DevOps Engineer
BrainRidge Consulting
Toronto, ON
- Full-time
…to grow, we are seeking a motivated and experienced Senior DevOps…
Added 39 mins ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
Pwc Canada
Toronto, ON · Calgary, AB · Ottawa, ON · Vancouver, BC
- Full-time
…dynamic, client-facing environment. You operate as the senior engineer on a delivery pod, mentor Associates, own technical workstreams end-to-end, and translate client ambiguity into…
Added 54 mins ago
AM
AI Fleet Management Solutions
Advanced Micro Devices, Inc
Markham, ON
- Full-time
AMD is looking for an AI solutions systems Engineer who is passionate about complex and innovative AI solutions, AI infrastructure, fleet management and automation solutions. You will be a…
Added 1 hour ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC Canada
Ottawa, ON
- Full-time
…dynamic, client-facing environment. You operate as the senior engineer on a delivery pod, mentor Associates, own technical workstreams end-to-end, and translate client ambiguity into…
Added 2 hours ago
Q(
MONTREAL [HYBRID] - Storage Administrator
QUANTEAM (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
…remediation initiatives, driving automation, contributing to DevOps practices, and collaborating closely with IT teams and business stakeholders to deliver solutions aligned with business…
Added 3 hours ago
SL
AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Corporate IT is looking for AI Engineer with at least 2 years of development experience. This role will be instrumental in driving innovation, implementing cloud capabilities, and building…
Added 3 hours ago
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON · FCP
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.…
Added 3 hours ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
5–8+ years of platform engineering, infrastructure, or DevOps experience supporting AI workloads.
Added 3 hours ago
S
Senior DevOps Engineer – AI & Data Platform
Systematix
Canada
- Contract
We are Systematix and we are currently looking for a Senior DevOps Engineer – AI & Data Platform to help modernize and automate the engineering practices supporting a rapidly growing…
Added 3 hours ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 3 hours ago
TH
Frontend Software Engineer (senior)
Teumo Health Technologies Inc.
Vancouver, BC
- Full-time
Role Description The Senior Frontend Software Engineer will design, develop, and maintain user-facing features for Teumo Health’s digital health platforms, ensuring responsive, accessible,…
Added 3 hours ago
B
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
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.…
Added 3 hours ago
Senior Specialist, Software Engineering (CI/CD & Automation Engineering)
CMHC - SCHL
Ottawa, ON · Montreal, QC
This role is ideal for someone passionate about enabling teams, building reusable automation solutions, and making DevOps best practices easier to adopt across the organization. You’ll also…
Added 3 hours ago
AI
Senior AWS Data Engineer - 10+yrs
Apptoza Inc.
Toronto, ON
- Contract
We are seeking a Senior AWS Data Engineer with 10- 12+ years of hands-on experience designing, developing, and supporting enterprise-scale data platforms on AWS. The ideal candidate will be…
Added 3 hours ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
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Ottawa, ON
- Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 3 hours ago
E
Platform or DevOps Engineer
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- Full-time
We're seeking a Platform Engineer to own our cloud infrastructure, API ecosystem, authorization framework, and analytics platform. You'll scale our multi-tenant logistics SaaS platform…
Added 3 hours ago
MC
DevOps Specialist - Kubernetes (35700)
Myticas Consulting
Ottawa, ON
- Full-time
Added 3 hours ago
QC
Quality Assurance Engineer
Quarry Consulting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Experience with CI/CD pipelines, Git, Jenkins, GitLab CI, Azure DevOps, or similar delivery tooling.
Added 4 hours ago
N
Information Security Engineer (Cloud) - Contract
Numeris
Toronto, ON
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Partner directly with internal DevOps, Infrastructure, and Systems teams to translate posture findings into clear remediation tasks, track remediation timelines, and verify fixes.
Added 4 hours ago
TS
Azure Architect
TECONICA SOFTWARES
Toronto, ON
- Contract
Absolutely. Based on the request in the image, I’d reposition this as a Microsoft Azure Platform Engineer / DevOps Engineer role rather than a Terraform-heavy generic DevOps role.
Added 4 hours ago
A
Senior AI Platform Engineer (MLOps)
Akkodis
Toronto, ON
- Contract
…pension organization to engage an experienced Senior AI Platform Engineer (MLOps) to support the ongoing growth and operationalization of enterprise AI…
Added 4 hours ago
P
Software Engineer
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Added 4 hours ago
Senior Specialist, Software Engineering (Microsoft Dynamics 365 CRM)
CMHC - SCHL
Toronto, ON · Ottawa, ON · Montreal, QC
Join the Business Solutions Engineering team, in the Senior Specialist, Software Engineer (Microsoft Dynamics 365 CRM) position, where the next generations of software applications are…
Added 4 hours ago
A
Embedded Software / Python Test Engineer (Open Interest)
Actalent
Ottawa, ON
- $45 to $65 CAD / hour
- Full-time
Embedded Software / Python Test Engineer Talent Network (Open Interest)
Added 5 hours ago
AL
Full Stack Engineer
Artech L.L.C.
Mississauga, ON
- $70 to $80 CAD / hour
- Contract
Collaborate with other developers, business stakeholders, QA, DevOps, and technology teams throughout the development lifecycle.

BMO

Senior Platform Engineer, AI & Fabrics

Toronto, ON, Canada

$70,000.00 - $150,000.00 · Part-time

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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.

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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

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