Find work in Canada.

325,486 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 1 month ago
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
Full-time
Both halves sit on the AI Foundation. Today that foundation includes a GenAI agent framework, a tool system, vector stores, streaming and telemetry, and a separate ML service; the near-term…
Added 1 month ago
Principal Data and Applied Scientist
SAP
Montreal, QC
Hands-on experience with modern GenAI systems RAG, embeddings, vector databases, semantic retrieval, and enterprise knowledge grounding.
Added 1 month ago
Software Development Engineer in Test, Creativity Apps (SDET)
Apple
Vancouver, BC
The Video Apps team is looking for a Software Developer in Test with a background in video/photo editing to contribute to the development of innovative tools for creative professionals,…
Added 1 month ago
GenAI Architect
Lantern
Calgary, AB · Edmonton, AB · Vancouver, BC · Toronto, ON
Proficiency in Python and experience with cloud-native development.
Added 1 month ago
Principal Data and Applied Scientist
SAP
Montreal, QC
Hands-on experience with modern GenAI systems RAG, embeddings, vector databases, semantic retrieval, and enterprise knowledge grounding.
Added 1 month ago
Backend AI Engineer
Nexxa.AI
Remote, Canada
Full-time · Remote
Design, build, and maintain backend services and APIs that power GenAI, LLM, and Computer Vision model integrations across Nexxa's products.
Added 1 month ago
Lead Full-Stack GenAI Engineer
Vancity
Vancouver, BC
Full-time
As a Lead Full-Stack GenAI Engineer, you will lead the hands-on delivery of secure Generative AI and agentic AI solutions from discovery and prototype through production deployment,…
Added 1 month ago
Software Architect - AI Accelerated Engineering Lead
Slalom
Calgary, AB
Full-time
Manage GenAI-driven teams: Orchestrate multi-developer environments where AI agents and engineers work side by side - ensuring productivity, quality, and responsible adoption.
Added 2 months ago
Manager, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
Full-time
…recommendation, anomaly detection) using tech stack such as Python and common ML frameworks (e.g., scikit‑learn, TensorFlow, PyTorch, Azure ML Studio, Databricks…
Added 2 months ago
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
Full-time
…recommendation, anomaly detection) using tech stack such as Python and common ML frameworks (e.g., scikit‑learn, TensorFlow, PyTorch, Azure ML Studio, Databricks…
Added 29 days ago
BCG Platinion | Senior AI Tech Consultant, Tech Advisory & Delivery
Boston Consulting Group
Toronto, ON
$160,000 CAD / year
Full-time
Added 1 month ago
Lead Data Scientist
Sanofi
Toronto, ON
Full-time
AI & GenAI driven transformation of market access and payer strategies
Added 1 month ago
AI Engineer
Sanofi
Toronto, ON
Full-time
AI & GenAI driven transformation of market access and payer strategies
Added 1 month ago
AI-First Quality Engineering Lead
Royal Bank of Canada
Toronto, ON
Full-time
You will partner across technology, product, and platform teams to lead a full shift-left transformation powered by GenAI, intelligent automation, and agentic engineering practices. This is…
Added 1 month ago
AI-First Quality Engineering Lead
RBC
Toronto, ON
Full-time
You will partner across technology, product, and platform teams to lead a full shift-left transformation powered by GenAI, intelligent automation, and agentic engineering practices. This is…
Added 5 months ago
Manager, ML/AI Engineer, Data & AI
KPMG
Vancouver, BC · ON · Toronto, Ontario
Full-time
…recommendation, anomaly detection) using tech stack such as Python and common ML frameworks (e.g., scikit‑learn, TensorFlow, PyTorch, Azure ML Studio, Databricks…
Added 5 months ago
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Vancouver, BC
Full-time
…recommendation, anomaly detection) using tech stack such as Python and common ML frameworks (e.g., scikit‑learn, TensorFlow, PyTorch, Azure ML Studio, Databricks…
Added 1 month ago
Applied Scientist III, RBKS AI
Amazon
Toronto, ON
Full-time
…working in the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking AI Applied Scientists to work on initiatives that combine advanced…
Added 28 days ago
Senior Software Developer, Manufacturing Data Solutions (Python/SQL)
Sonova AG
Kitchener, ON
As a Senior Software Developer, you will apply your expertise to deliver reliable and scalable data-oriented solutions in a collaborative global environment.
Added 28 days ago
Software Developer, Manufacturing Data Solutions (Python/SQL)
Sonova AG
Kitchener, ON
As a Software Developer, you will apply your expertise to deliver reliable and scalable data-oriented solutions in a collaborative global environment.
Added 1 month ago
Robotics - Software Development Engineer
Amazon
Toronto, ON
Full-time
Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
Added 1 month ago
Robotics - Software Development Engineer Intern - 2026 - Toronto
Amazon
Toronto, ON
Full-time
Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
Added 1 month ago
Principal Engineer, AI
BMO
Toronto, ON · BMOPLACE
Full-time
…by taking real engineering assets that includes an existing developer portal, an AI registry, a body of policy-as-code, and gateway integrations and hardening, scaling, enhancing and…
Added 1 month ago
Principal Engineer, AI Platform
BMO
Toronto, ON · BMOPLACE
Full-time
…by taking real engineering assets that includes an existing developer portal, an AI registry, a body of policy-as-code, and gateway integrations, and hardening, scaling, and governing them…
Added 1 month ago
Principal Architect, AI Platform
BMO
Toronto, ON · BMOPLACE
Full-time
You will hold architectural oversight across the AI Platform capabilities including Developer Experience, Security, DevOps, and Data Analytics. You will work across teams and organizations…

BMO

Principal Engineer, AI Platform

Toronto, ON, Canada
BMOPLACE, Canada

Pay: $103,200.00 - $192,000.00
Job type: Full-time
Apply by: Oct 30, 2026
Experience: 8+ years of software/platform engineering experience (Principal), or 5+ years (Senior), with substantial time building and operating shared platform services at enterprise scale.
Posting language: English
Posted: Aug 24, 2026

Apply About employer

Applications open in a new tab.

Original job description

Application Deadline:

10/29/2026

Address:

33 Dundas Street West

Job Family Group:

Technology

Principal Engineer, AI Platform & Fabrics

Description

BMO is building the platform capabilities that make enterprise AI safe, governed, and scalable. We are seeking experienced Principal/Senior engineers to 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 own capabilities end to end; designing, shipping, and operating them in production, including on-call. You will not build the AI models or applications themselves (those are domain-owned); you 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 who has built shared platform services at scale, cares deeply about operability, latency, and correctness, and understands that in a regulated bank the infrastructure must produce its own evidence. You are energized by taking real engineering assets that includes an existing developer portal, an AI registry, a body of policy-as-code, and gateway integrations, and hardening, scaling, and governing them into enterprise-grade platform capabilities. You raise the technical bar for those around you and mentor as you build.

What You'll Build & Operate

Depending on your specialization, you will own one or more of the following capability areas:

Enterprise Control Plane

Portal & Registry - a federated AI Registry (agents, models, tools, channels, evaluations across 16+ asset types) with self-service onboarding and lifecycle workflows; federation with external registries (Agent 365, AgentCore, MLflow).
Policy Engine - policy-as-code infrastructure (Cedar/OPA), a policy compilation pipeline, GitOps-based domain-scoped bundle distribution, risk-tiered approval workflows, and a policy simulation sandbox.
Observability & Audit - a multi-pipeline telemetry architecture (operational + security + compliance), OpenTelemetry GenAI conventions, cross-pipeline trace correlation, lineage-stamped traces, and a 7-year tamper-evident audit lake producing regulator-ready evidence.
Governance & Lifecycle - certification workflows, automated compliance scoring, decommission governance, and evidence generation for architecture and model-risk review.

Domain Orchestration

Gateway Runtime - domain-hub deployment across AWS and Azure; an inline enforcement engine performing request-time policy evaluation, routing, residency, budget/quota, and circuit breaking within strict tiered latency budgets (Fast <5ms / Standard <25ms / Full <50ms); cross-region failover.
Guardrails Runtime - a multi-stage safety pipeline (input moderation → prompt-injection defense → PII → output validation → hallucination detection → policy enforcement) with bilingual EN/FR parity and behavioral guardrails for agentic workloads (goal hijacking, intent drift, excessive agency).
Identity Fabric - workload identity for AI (SPIFFE/SPIRE), token-exchange bridging, per-domain trust boundaries, Entra Agent ID integration, on-behalf-of identity propagation, and cross-cloud token federation with zero-trust attestation.

What You'll Do

Own capabilities end to end - design, implement, test, ship, and operate production infrastructure, including on-call ownership of what you build (no separate run team).
Engineer for operability and defensibility from day one - instrumentation, SLOs, latency budgets, failure modes, and runtime evidence built in, not bolted on.
Build the APIs, SD'able interfaces, and integrations through which domains, DevOps pipelines, and enterprise systems consume platform capabilities.
Implement policy enforcement, guardrails, identity attestation, and audit as first-class engineering concerns - correct, performant, and provable.
Ensure every capability produces runtime evidence connecting AI activity to policy enforcement, identity, and lineage for model-risk and regulatory review (OSFI E-23, OCC).
Assess emerging AI infrastructure, foundation-model access patterns, and standards; make deliberate, cost-aware engineering choices.
Mentor and raise the bar - set engineering standards, review designs and code, and grow depth across the team.
Partner closely with AI Developer Experience (so domains can consume what you build), AI Security and AI SDLC (embedded specializations), and the Senior AI Architect (architectural coherence).

Education & Experience

Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline (Master's preferred).
8+ years of software/platform engineering experience (Principal), or 5+ years (Senior), with substantial time building and operating shared platform services at enterprise scale.
Demonstrated experience operating production infrastructure with real SLOs and on-call ownership, ideally in a regulated industry (financial services strongly preferred).
Depth in one or more of: API gateways / traffic enforcement; policy-as-code and authorization; workload identity / zero-trust; observability and telemetry pipelines; audit/compliance data platforms.

Required Core Skills

Platform Engineering Depth

Strong distributed-systems and platform-engineering fundamentals: latency-sensitive request paths, resilience patterns (circuit breakers, failover), multi-tenancy, and high availability.
Strong programming skills (Python and/or Go preferred; TypeScript/Java an asset) for building performant services, APIs, and integrations.
Cloud-native architecture across AWS and Azure: containers/Kubernetes, service mesh, and Infrastructure as Code (CDK, Terraform, CloudFormation/ARM).
Robust CI/CD, GitOps, and DevSecOps practice; Git-based workflows (Bitbucket/GitHub), Jira, Confluence.

Capability-Specific Depth (one or more)

Policy/Authorization: Cedar, OPA/Rego, policy compilation and distribution, risk-tiered approval workflows.
Identity/Zero-Trust: SPIFFE/SPIRE, mTLS, token exchange, OAuth/OIDC, federated and cross-cloud identity, Entra ID/Agent ID, OBO.
Observability/Audit: OpenTelemetry (incl. GenAI conventions), distributed tracing, Dynatrace/Splunk or equivalents, tamper-evident/immutable audit stores, data lineage.
Gateway/Guardrails: API gateway internals, inline enforcement, LLM routing/abstraction, prompt-injection and PII defenses, hallucination detection, AI evaluation.
Registry/Portal: service catalogues, asset registries, lifecycle workflows, federation with external registries.

GenAI & Governance Context

Working knowledge of GenAI platform patterns: LLM/AI gateways, RAG and agentic patterns, foundation models, embeddings, and guardrails - sufficient to build the infrastructure they depend on.
Familiarity with AI/ML platforms (Bedrock, Azure OpenAI, SageMaker, MLflow) and orchestration frameworks (LangChain, LlamaIndex).
Grounding in Responsible AI, AI/data governance, privacy, cloud security, and IAM as applied to AI workloads.

Certifications (Preferred)

AWS Certified Solutions Architect (Associate/Professional) / ML – Specialty
Microsoft Certified: Azure Solutions Architect Expert / Azure AI Engineer Associate
Kubernetes (CKA/CKAD); HashiCorp Terraform Associate
Security/identity certifications (relevant to Identity Fabric roles)

Other Skills

Strong communication and collaboration across engineering, security, architecture, and domain teams.
A critical thinker with strong analytical and problem-solving skills.
Self-directed, comfortable with ambiguity and a fast-evolving mandate.
Able to deliver complex work under tight timelines; participates in on-call rotation for owned services.

Salary:

$103,200.00 - $192,000.00

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, build, and operate enterprise-grade AI platform capabilities including gateways, policy engines, and observability frameworks. This role involves end-to-end ownership of production infrastructure, ensuring compliance with regulatory standards while mentoring team members.

Requirements

Candidates must have at least 5-8 years of experience in platform engineering with a strong background in distributed systems and cloud-native architectures. A bachelor's degree in a technical discipline is required, along with proficiency in languages like Python or Go and experience in regulated industries.

Skills

Platform engineering
Distributed systems
Python
Go
Kubernetes
Infrastructure as code
Terraform
AWS
Azure
Policy-as-code
OpenTelemetry
Zero-trust
Identity management
API gateways
CI/CD
GitOps

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 Platform
Principal Engineer
Cloud-native
AWS
Azure
Kubernetes
Python
Go
Terraform
Policy-as-code
OpenTelemetry
Zero-trust
Identity Fabric
SPIFFE
SPIRE
GitOps
CI/CD
Regulatory compliance
OSFI
OCC
GenAI
LLM
RAG
API Gateway
Observability
Distributed systems
Platform Engineering
Infrastructure as Code
Data lineage
Security

Report this job