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Added 24 mins ago
A
Intermediate Software Engineer
AltaML
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
…libraries or AltaForge - supporting the AltaForge Clients and Same-Agent-Across-Clients north…
Added 1 hour ago
MP
Luxury Property Consultant (Dubai Based)
McCone Properties
Montreal, QC
- Full-time
The average agent here earned US$112,000 last year, tax free; US$2.9 million is our best year, not the usual one. There is no salary, so arrive with around six months of savings while you…
Added 1 hour ago
K
Founding CTO
Kouvre
Montreal, QC
- Full-time
Kouvre is the AI agent for restaurants. Independent owners text it like an employee and it runs the business for them: launching promos, fixing menus, changing prices, replying to reviews,…
Added 4 hours ago
SH
Applied AI Software Engineer
SE Health
Markham, ON
- Full-time
…specification-driven workflows, autonomous iteration loops, repository-level agent instruction files, custom commands, skills and hooks, subagent orchestration, Model Context Protocol…
Added 6 hours ago
Software Development Engineer II, Advertiser Growth Engine
Amazon
Toronto, ON
- Build an agentic platform that powers all Ads agent to communicate with advertisers in 20+ languages.
Added 6 hours ago
TC
Loss Prevention Store Security Agent
TJX Canada – Winners, Marshalls, HomeSense
Halifax, NS
- $37,590 to $52,626 CAD / year
- Full-time
We're seeking a Loss Prevention Store Security Agent to help create a safe, secure, and welcoming environment in our stores. In this impactful role, you’ll be instrumental in theft…
Added 6 hours ago
TC
Loss Prevention Store Security Agent
TJX Canada – Winners, Marshalls, HomeSense
London, ON
- $37,590 to $52,626 CAD / year
- Full-time
We're seeking a Loss Prevention Store Security Agent to help create a safe, secure, and welcoming environment in our stores. In this impactful role, you’ll be instrumental in theft…
Added 7 hours ago
S
Asset Protection Partner
sephora.com
Toronto, ON
- $25 to $30 CAD / hour
- Full-time
Testify in court on behalf of the company, in any case, criminal or civil, to which the Agent is summoned.
Added 7 hours ago
W
Senior Manager, Strategic Initiatives- Corporate Strategy
Walmart
Mississauga, ON
- Full-time
…critical initiative to ensure successful delivery. This role is an agent of the Office of the President, and as such, must uphold a level of strong internal influence to ensure optimal…
Added 8 hours ago
SC
Senior Developer
SAP Careers
Montreal, QC
- $108,100 to $222,800 CAD / year
- Full-time
We are looking for a dynamic and motivated Senior Software Developer who embrace AI-assisted software development as part of their everyday engineering practice to join our engineering…
Added 8 hours ago
S
Asset Protection Partner
Sephora
Toronto, ON
- $25 to $30 CAD / hour
Testify in court on behalf of the company, in any case, criminal or civil, to which the Agent is summoned.
Added 8 hours ago
RB
Senior Software Developer - Offensive AI (Global Security)
Royal Bank of Canada
Toronto, ON
- Full-time
Continuously tune and validate agent behavior against real operational use cases, iterating based on operator feedback.
Added 8 hours ago
M
Senior software engineer: Applied AI
Morningstar
Toronto, ON
- Full-time
Integrate with hosted LLM inference (via centralized model gateway infrastructure) for extraction, classification, and agent orchestration workloads; evaluate open-weight models against…
Added 8 hours ago
M
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
- Full-time
Integrate with hosted LLM inference (via centralized model gateway infrastructure) for extraction, classification, and agent orchestration workloads; evaluate open-weight models against…
Added 9 hours ago
CL
Data Engineer
Codd Labs
Toronto, ON
- Contract
- Validate outputs with test cases and AI-agent-assisted testing.
Added 10 hours ago
SD
Senior Director, Pharmacy Experience and Transformation
Shoppers Drug Mart
Toronto, ON
- Full-time
Lead a portfolio of key transformation initiatives, including Experience Insights & Analysis, Pharmacy Experience Program (PEP), Rx Delivery, AI Call Agent and Assisted Data Entry.
Added 10 hours ago
Entry-Level Commercial Real Estate Agent
Marcus & Millichap
AB
Added 10 hours ago
Commercial Real Estate Agent
Marcus & Millichap
Vancouver, BC
As an agent, you represent buyers and sellers of investment properties, guide deals from the first call to closing, and build a book of business that is your own.
Added 10 hours ago
Commercial Real Estate Agent
Marcus & Millichap
AB
As an agent, you represent buyers and sellers of investment properties, guide deals from the first call to closing, and build a book of business that is your own.
Added 10 hours ago
Entry-Level Commercial Real Estate Agent
Marcus & Millichap
Vancouver, BC
Added 10 hours ago
Entry-Level Commercial Real Estate Agent
Marcus & Millichap
Toronto, ON
Added 10 hours ago
EG
Senior Programmer, AI and Creation Tools
Epic Games
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Create new tools at the intersection of user-driven and agent-driven content creation
Added 11 hours ago
S
Asset Protection Partner
sephora.com
Toronto, ON
- $25 to $30 CAD / hour
- Full-time
Testify in court on behalf of the company, in any case, criminal or civil, to which the Agent is summoned.
Added 12 hours ago
BS
Technical Lead (Full-Stack Engineering & AI)
Brainhunter Systems Ltd
ON · Ontario, Canada
- Contract
✔ Proven experience as a Technical Lead, Staff Engineer, or Senior Full-Stack Developer
Added 12 hours ago
EG
Expedia Group Advertising Planning & Insights (EGA-PI) Manager (FTC)
Expedia Group
Toronto, ON
- $65,500 to $92,000 CAD / year
- Full-time

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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