Find work in Canada.

319,804 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 8 hours ago
A
Intermediate Software Engineer
AltaML
Toronto, ON
- $90,000 to $110,000 CAD / year
- 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 8 hours ago
SI
Forward Deployed Engineer
SPERTON India - Where Great People Meet
Canada
- Full-time
Build and deploy production-grade agentic systems end-to-end
Added 11 hours ago
B&
Lead, AI Engineering
Bain & Company
Zurich, ON
- Full-time
The Lead AI Engineer will design, build, and ship generative AI systems and agentic solutions for Bain’s clients. You will contribute across the full development lifecycle - from early…
Added 16 hours ago
G
Senior AI Engineer
Guidepoint
Toronto, ON
- Full-time
You'll be an early engineer on a new initiative: taking working prototypes to production and shaping the architecture as the product scope grows. This is a hands-on role with broad…
Added 16 hours ago
S
Senior Data Engineer, NimbleRx
Swoop
Toronto, ON
- Temporary
As a Senior Data Engineer, you will own NimbleRx’s data platform - the layer that every other team builds on to understand the business, ship product features, and meet our compliance…
Added 16 hours ago
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON · FCP
…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…
Added 16 hours ago
TN
Data Engineer
TalentVault Network Inc.
Vancouver, BC
- Contract
Experience with agentic engineering or AI-assisted software delivery
Added 17 hours ago
K
Senior AI Software Engineer, Agentic Systems & Data Fabric
Kinaxis
Ottawa, ON
- Full-time
…governed data sharing, and the harness enablement layer that lets agentic AI safely reason about and act on enterprise data. As a Senior AI Software Engineer on the Data Fabric team, you…
Added 17 hours ago
B
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
…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…
Added 17 hours ago
Developer Advocate
Asana
Vancouver, BC
Proven track record as a Developer Advocate, Developer Relations Engineer, or Senior Software Engineer with substantial experience building developer community programs.
Added 17 hours ago
Senior AI Engineer
Guidepoint
Toronto, ON
You'll be an early engineer on a new initiative: taking working prototypes to production and shaping the architecture as the product scope grows. This is a hands-on role with broad…
Added 17 hours ago
ED
Senior Quality Engineer/Lead - EN 323
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $96,557 to $128,743 CAD / year
- Full-time
Senior Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experience plus a performance-based incentive of 15%
Added 18 hours ago
SA
Senior Data Engineer, NimbleRx
Swoop Airlines and Aviation
Toronto, ON
- $195,000 to $228,000 CAD / year
As a Senior Data Engineer, you will own NimbleRx’s data platform - the layer that every other team builds on to understand the business, ship product features, and meet our compliance…
Added 18 hours ago
ED
Senior Quality Engineer/Lead - EN 323
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Senior Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experience plus a performance-based incentive of 15%
Added 19 hours ago
Staff Information Security Engineer - Threat Detection & Response
Visier Solutions Inc
Vancouver, BC
…Workforce AI to life for HR departments through our award-winning, agentic AI technology by surfacing the insights leaders need to plan, decide, and act with confidence in the moments that…
Added 19 hours ago
E
AI Engineer
enableIT
Toronto, ON
- Contract
We are seeking experienced Senior AI Engineers to join a leading enterprise technology team and build reliable, production-ready AI agents and LLM-powered applications.
Added 20 hours ago
D
Sr Software Engineer
Deltek
Calgary, AB
- Full-time
Deltek is looking for a Senior Software Engineer to join our established Replicon Core team, a tight-knit group of full-stack developers, architects, and rising talent building products…
Added 20 hours ago
BS
Senior SRE/AI Engineer
BayOne Solutions
Canada
- Contract
Hands-on experience with GenAI/LLMs, RAG, agentic workflows, or AI automation.
Added 20 hours ago
DI
Senior Applied Intelligence Platform Engineer
Dawn InfoTek
Toronto, ON
- Contract
We are currently seeking a Senior Applied Intelligence Platform Engineer to join our dynamic team and work with one of client.
Added 21 hours ago
AI Engineer
Bell
Toronto, ON
In this role, you will work closely with data scientists, senior engineers, and business squads to turn prototypes into reliable, production-ready AI applications. You will focus on…
Added 21 hours ago
T
AVP, Analytics, Insights and AI, AI Product
TD
Toronto, ON
- Full-time
Apply technical product judgment on model, data, retrieval, agentic design, evaluation, architecture, integration, human oversight, reliability, latency, scalability and cost decisions.
Added 22 hours ago
AT
Senior AI Engineer
Arkhya Tech Inc.
Canada
- Full-time
Design and develop agentic workflows using Vertex AI and Agent Builder
Added 22 hours ago
H
AI Solution Architect
Hays
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As an AI Solution Architect, you will be a senior individual contributor within the Solutions Architecture team, responsible for designing, documenting, and delivering solution-level…
Added 22 hours ago
A
Senior Software Developer
Autodesk
Toronto, ON · ON · BC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are seeking a Senior Full-Stack Staff Engineer to provide hands-on technical leadership across our web platform and digital experience ecosystem. This role will be responsible for…
Added 23 hours ago
S
Senior Solution Engineer
Snowflake
Remote, Canada
- $162,000 to $212,625 CAD / year
- Full-time
- Remote
We are seeking a Senior Solution Engineer to drive complex customer solutions and close large deals. Working directly with sales teams and channel partners, you will be the technical expert…

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.

Apply About employer

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

Report this job