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Senior Cloud Site Reliability Engineer
Solace
Ottawa, ON
Full-time
Enterprise AI is moving from pilots to production, and the constraint is no longer the model - it's the data. Agents are only as good as what they can sense, trust, and act on in the…
Forward Deployed Engineer
Shakudo
Toronto, Ontario
Full-time
We are seeking a senior Forward Deployed Engineer to join our Platform team and work directly with strategic customers to turn business problems into production AI and data systems. This is…
Senior or Staff Software Engineer, Backend
League Inc.
Canada
Contribute beyond your primary backend specialization across services, data, infrastructure, web, and mobile codebases when needed to deliver pod outcomes using AI-assisted development to…
Senior Full Stack Developer - AI & Developer Productivity
RBC
Toronto, ON
Full-time
The Senior Full Stack Developer is a hands‑on engineer and pragmatic technical partner on the APT product team. You will design and build responsive Angular frontends, resilient Java/Spring…
Senior Full Stack Developer - AI & Developer Productivity
Royal Bank of Canada
Toronto, ON
Full-time
The Senior Full Stack Developer is a hands‑on engineer and pragmatic technical partner on the APT product team. You will design and build responsive Angular frontends, resilient Java/Spring…
Senior Full Stack Software Engineer
roomvu
Vancouver, British Columbia
$68,000 to $69,000 CAD / year
Full-time
…testing, deploying, and maintaining the SaaS applications and automation systems that power…
Senior Site Reliability Engineer I
Braze
Toronto, ON
Full-time
Site Reliability Engineers (SREs) at Braze are responsible for keeping all internal-facing services and platforms running smoothly, ensuring consistent system reliability and maximum…
Senior Site Reliability Engineer I
Braze
Vancouver, BC
Full-time
Site Reliability Engineers (SREs) at Braze are responsible for keeping all internal-facing services and platforms running smoothly, ensuring consistent system reliability and maximum…
Senior Site Reliability Engineer I
Braze
Vancouver, BC
Site Reliability Engineers (SREs) at Braze are responsible for keeping all internal-facing services and platforms running smoothly, ensuring consistent system reliability and maximum…
Senior Site Reliability Engineer I
Braze
Toronto, ON
Site Reliability Engineers (SREs) at Braze are responsible for keeping all internal-facing services and platforms running smoothly, ensuring consistent system reliability and maximum…
Senior Software Developer, Search AI
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
Full-time
We are looking for a Senior Software Engineer to own and deliver complex modules within our Search Infrastructure within Autodesk Platform Services. You will work with system architects,…
Senior Artificial Intelligence Platform Engineer & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-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…
Machine Learning Engineer , Amazon Customer Service
Amazon
Vancouver, British Columbia
We are looking for a Machine Learning Engineer on the Data Intelligence team which is part of Amazon Customer Service (CS) team, you will design and build robust, scalable AI/ML systems and…
Added 2 days ago
Presales Solutions Architect
Centrilogic
Toronto, ON
Full-time
Centrilogic is a global provider of cloud, data, AI and managed services. We help organizations modernize their systems, adopt secure and scalable AI architectures, and run those platforms…
Presales Solution Architect
Centrilogic
ON · Ontario, Canada
Full-time
Centrilogic is a global provider of cloud, data, AI and managed services. We help organizations modernize their systems, adopt secure and scalable AI architectures, and run those platforms…
Senior Full-Stack & DevOps Engineer
Truss
Remote, Canada
$150,000 to $250,000 USD / year
Full-time · Remote
We need a Senior Full-Stack & DevOps Engineer who ships fast, thinks in systems, and treats infrastructure as one part of their toolkit - not their whole identity.
Senior Manager, SR&ED (Software Engineer)
KPMG
Vancouver, BC
Full-time
Think in systems: Understand how architecture, data, infrastructure, software components and operational constraints interact.
IT Manager Platform Engineering & AI Enablement
Canlan Sports
Toronto, ON · North York, ON
Full-time
This role connects technology strategy with hands-on engineering execution. The successful candidate will lead the Data Platform and Web Development teams while overseeing cloud…
Lead Full-Stack GenAI Engineer
Vancity
Vancouver, BC
Full-time
Diagnosing and resolving failures across models, retrieval, agents, tools, data, APIs, user interfaces, identity, infrastructure, and downstream systems using code, telemetry, and runtime…
Chief Software Engineering Architect
DataStealth
Mississauga, ON
Full-time
You're the most senior technical mind in the company - a hands-on architect who still writes code, still ships, and still de-risks the hardest problems personally. You set the technical…
Principal Design Engineer
League Inc.
Canada
This is a senior individual contributor role. The work is infrastructure, so you'll be measured by what other designers and engineers can build because of what you built.
Principal, Data Engineering & Architecture
RBC
Toronto, ON
Full-time
The Principal, Data Engineering and Architecture is a senior individual contributor who leads the end-to-end engineering of enterprise-grade data applications, combining hands-on…
Principal, Data Engineering & Architecture
Royal Bank of Canada
Toronto, ON
Full-time
The Principal, Data Engineering and Architecture is a senior individual contributor who leads the end-to-end engineering of enterprise-grade data applications, combining hands-on…
FP&A Manager – Clinic Finance & Business Partner
Finni Health
Remote, Canada
$90,000 to $120,000 CAD / year
Full-time · Remote
As we continue to grow, we're focused on building the financial systems, analytics, and automation that allow the company - and every practice we support - to grow efficiently. This role…
Enterprise Architect - 6 Month Term
Moby
Calgary, AB
$75,000 to $100,000 CAD / year
Full-time
Experience: 6+ years in enterprise or solution architecture (or a senior technical lead / staff engineer moving into architecture), spanning business process, data, application, and…

BMO

Senior Artificial Intelligence Platform Engineer & Fabrics

Toronto, ON, Canada
BMOPLACE, Canada

Pay: $75,900.00 - $141,900.00
Job type: Full-time
Apply by: Sep 29, 2026

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

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Responsibilities

You will design, implement, and operate core enterprise AI platform infrastructure including gateways, policy engines, and observability tools. You are responsible for writing production code, building integrations, and ensuring AI workloads run securely and within regulatory compliance.

Requirements

Candidates must have a Bachelor's degree in a technical discipline and at least 5 years of software or platform engineering experience. Proficiency in Python or Go, cloud-native development, and experience with distributed systems or security infrastructure is required.

Experience

5 to 10 years

Education

bachelor degree
postgraduate degree

Working hours

40 hours per week

Work arrangement

Hybrid

Skills

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

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

Artificial Intelligence
Platform Engineering
AWS
Azure
Python
Go
Kubernetes
Terraform
Policy-as-code
OpenTelemetry
GitOps
API Gateway
Identity Fabric
GenAI
Distributed Systems
CI/CD
DevSecOps
Financial Services
Regulatory Compliance
Infrastructure as Code
SPIFFE
SPIRE
Cedar
OPA
LLM
RAG
Bedrock
Azure OpenAI
MLflow
LangChain

Original job description

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.

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