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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 19 days ago
Senior Engineer (Platform)
Later
Vancouver, BC
Built on a native, AI-powered platform and more than a decade of proprietary data - including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven…
Added 1 month ago
AI Engineer
Sanofi
Toronto, ON
Full-time
Development of unified platform of sales, marketers and MSL users powered by multi-agent systems
Added 1 month ago
Senior Fullstack AI Platform Engineer
Kindsight
Canada
Full-time
We’re looking for a Senior Fullstack AI Platform Engineer who wants to build AI systems that actually make it into production.
Added 1 month ago
Senior Software Engineer (Infrastructure)
Motion
Remote, Canada
Full-time · Remote
We’re looking for a senior software engineer who loves working at the boundary between product code and infrastructure. This is not a traditional DevOps or SRE role. You’ll spend most of…
Added 1 month ago
Principal Engineer, AI
BMO
Toronto, ON · BMOPLACE
Full-time
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…
Added 1 month ago
Principal Engineer, AI Platform
BMO
Toronto, ON · BMOPLACE
Full-time
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…
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…
Added 1 month ago
AI Software Engineer
Eclipse Automation
Cambridge, ON
We need a AI Software Engineer who can turn architecture and technical plans into secure, reliable, production-ready solutions. Approximately 70–80% of the role will focus on AI systems,…
Added 1 month ago
Senior Quality Assurance Specialist
Synechron
Toronto, ON · Greater Toronto Area, Canada
$120,000 to $125,000 CAD / year
Full-time
We are looking for an Automation Engineer - a developer-first, agentic thinker who will build the intelligent systems that keep Sophis, strategic front-to-back trading platform, running at…
Added 1 month ago
Senior Engineer, AI Native SDLC
Scotiabank
Toronto, ON
The Senior Engineer / Senior Manager is a hands on technical leader and SDLC owner responsible for building, defining, and scaling an AI Native Software Development Lifecycle (SDLC) across…
Added 22 days ago
Principal, Data Engineering & Architecture
Royal Bank of Canada
Toronto, ON
Full-time
…generation (RAG), embedding-based search, prompt engineering, and agent evaluation/guardrails frameworks to ensure agents behave reliably, safely, and within business policy…
Added 1 month ago
IAM Specialist
Kinross Gold Corporation
Toronto, ON
Full-time
…the enterprise Identity Governance and Administration (IGA) platform. This is a hands-on engineering role that is evolving from operational execution toward strategic oversight: as…
Added 1 month ago
Software Engineer III/Senior Software Engineer (Full Stack)
Workday
Vancouver, BC
Full-time
As a Full Stack Software Engineer in Agent Factory, you’ll help build the user-facing and platform experiences that bring Workday’s AI agents to life. Working within a small,…
Added 1 month ago
Senior Full Stack Engineer
UST
Toronto, ON
Full-time
Drive DevOps and automation initiatives, enhancing CI/CD pipelines through intelligent agent integration to improve deployment speed and reliability.
Added 1 month ago
Service Now AI DevOps Engineer
McKesson
Mississauga, ON
Full-time
McKesson is seeking a Senior ServiceNow AI Engineer to deliver innovative AI-powered solutions that improve healthcare operations and employee experiences at enterprise scale. This role…
Added 26 days ago
Director, Developer Platform & Experience
Motive
Vancouver, BC
We are hiring a Director of Developer Platform & Experience to own that execution and the platform underneath it. This role owns Motive's internal developer ecosystem end to end: developer…
Added 2 months ago
Senior Platform Engineer
AutoTrader.ca
Toronto, ON
Full-time
…tooling adoption across the company and we're building out the platform behind it: secure managed environments for AI coding tools, AI-assisted CI (automated PR reviews, fixes for failing…
Added 1 month ago
Senior AI Engineer, Full-Stack - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
This is production-grade AI embedded deeply into Workday's platform - not research experimentation or maintenance work. We ship to paying enterprise customers today, and we're kicking off a…
Added 1 month ago
Software Engineer AI - Multiple Levels
Diligent Corporation
Vancouver, BC
As a Software Engineer on Diligent's Platform AI team, you'll help design, build, and operate the core services that power AI-driven capabilities across Diligent's global product suite.…
Added 1 month ago
Staff AI Engineer
Maple
Toronto, ON
Full-time
Maple’s purpose is to meet the world's healthcare needs. We’re Canada's leading on-demand healthcare platform, connecting patients with Canadian-licensed doctors, nurse practitioners and…
Added 2 months ago
AI SDLC Engineer (Senior / Principal)
RAVL
Toronto, ON
Full-time
Rather than building customer-facing AI applications, you'll design and evolve the engineering platform that makes enterprise AI development scalable, secure, and repeatable. As a Senior or…
Added 2 months ago
Directeur.trice principal.e, opérations de l'expérience client // Senior Director, Customer Experience Operations
SSENSE
Montreal, Quebec
Full-time
…expérience éprouvée dans la gestion de flux de travail Agile/DevOps multi-équipes (par ex., SAFe) et de l'architecture des…
Added 1 month ago
Senior Platform Engineer
AutoTrader.ca
Toronto, ON
…tooling adoption across the company and we're building out the platform behind it: secure managed environments for AI coding tools, AI-assisted CI (automated PR reviews, fixes for failing…
Added 2 months ago
Software Development Manager, Agentic AI DevOps
Amazon
Vancouver, BC
Do you want to help build AWS DevOps Agent, a frontier agent that investigates incidents and identifies operational improvements as an experienced DevOps engineer would?

Closed listing

BMO

Senior Artificial Intelligence Platform Engineer, AI Platform & Fabrics

Toronto, ON, Canada
BMOPLACE, Canada

Pay: $75,900.00 - $141,900.00
Job type: Full-time
Closing date: Sep 30, 2026
Experience: 5+ years of software/platform engineering experience, including hands-on experience building and operating production services.
Posting language: English
Posted: Aug 24, 2026

This opening has closed.

The original listing is kept below for reference.

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Original job description

Archived listing. The details below describe a past opening.

Application Deadline:

09/29/2026

Address:

33 Dundas 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:

$75,900.00 - $141,900.00

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.

About employer

More about this job

Responsibilities

You will design, implement, and operate core infrastructure components for enterprise AI, including gateways, policy engines, and observability tools. This role involves writing production code, building integrations, and ensuring platform capabilities meet regulatory and security 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 Python or Go, cloud-native development, and experience with production operations in a regulated environment are required.

Skills

Platform engineering
Python
Go
Kubernetes
Terraform
AWS
Azure
CI/CD
GitOps
API design
Distributed systems
Policy-as-code
Identity management
Observability
GenAI
Security

Benefits

Health insurance
Tuition reimbursement
Accident and life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

Platform Engineering
Artificial Intelligence
AI Gateway
Policy Engine
Identity Fabric
AWS
Azure
Kubernetes
Terraform
Python
Go
CI/CD
GitOps
OpenTelemetry
Cedar
OPA
SPIFFE
SPIRE
GenAI
LLM
RAG
API
Distributed Systems
Cloud-native
DevSecOps
Regulatory Compliance
Financial Services
Software Engineering
Infrastructure as Code
Observability

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