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Senior Software Engineer - Cloud Platform & Data Architecture
USA Tech Recruit
Toronto, ON
Full-time
We are looking for a Senior Software Engineer: Cloud Platform & Data Architecture to architect and build the foundational cloud services powering this next-generation platform. This is a…
Senior Data Engineer / Ingénieur(e) de données senior
Aduna Global
Montreal, QC
Full-time
This is a hands-on senior data engineering role with real architectural ownership. You will design the lakehouse and build it yourself. It is not a pure architect position, and there is no…
Senior Data & Analytics Engineer (Platform Engineer - 12 month temp)
BCI
Vancouver, BC
Temporary
BCI's Data and Analytics platform drives decisions across 75% of the organization, and we are looking for a Senior Data and Analytics Engineer (Platform) who can step in and own it. Based…
Senior Artificial Intelligence Platform Engineer, AI Platform & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-time
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…
Senior Software Engineer - Cloud Platform & Data Architecture
MultiTech
Toronto, ON
7+ years designing and delivering enterprise-scale cloud applications, including platform services, data architectures, and customer-facing APIs.
Senior / Staff Platform Engineer, ML & Data
Mistplay
Montreal, Quebec
Full-time
Relevant du vice-président de la plateforme de données et d'apprentissage automatique (Data and Machine Learning Platform), l'ingénieur de plateforme (niveau Staff) en données et AA est…
Senior Data Platform Engineer
LawZero
Montreal, QC
We are seeking a visionary and highly technical Senior Data Platform Engineer to architect, implement, scale, and maintain the data engine powering our next-generation frontier models.
Senior Engineer, Data Platform
Movable Ink
Toronto, ON
As a Senior Engineer on the Data Platform team at Movable Ink, you will help design and build the systems that power how data flows through the organization. You will play a key role in…
Senior Data Engineer (Client Solutions)
Yeji Data Lab
Montreal, QC
Full-time
We are looking for Senior Data Engineers who are more than coders. We are seeking platform architects and trusted advisors. The ideal candidate thrives in fast-paced environments, can move…
Staff Data Platform Engineer - Snowflake
RBC
Toronto, ON
Full-time
Join RBC's Cloud Data Lake Platform (Snowflake) Engineering team as a Staff Data Platform Engineer, where you'll play a critical role in designing, building, and operating one of Canada's…
Senior Data Architect
AOT Technologies
Victoria, BC
As a Senior Data Architect, you will design and implement scalable, cloud-native data platforms for enterprise and public sector clients. You will lead engineering teams, drive architecture…
Senior Data Engineer
ShyftLabs
Toronto, ON
Full-time
ShyftLabs is seeking an experienced Senior / Lead Data Engineer to lead the design, architecture, and delivery of enterprise-scale data platforms for Fortune 500 organizations. This is a…
Staff Data Platform Engineer - Snowflake
Royal Bank of Canada
Toronto, ON
Full-time
Join RBC's Cloud Data Lake Platform (Snowflake) Engineering team as a Staff Data Platform Engineer, where you'll play a critical role in designing, building, and operating one of Canada's…
Added 1 hour ago
Lead Software Engineer – AI, Data Visualization & Platform
Astucemedia
Montreal, QC
Full-time
Hands-on Engineering + Architecture + AI Adoption + Data Visualization + Platform Evolution
Senior Data Engineer - Halifax
RBC
Bedford, QC
Full-time
As Senior Data Engineer, in our Halifax team, in the Risk IT Data Services team, you will design, implement and support Data architecture best practices and processes within Risk IT Data…
Senior Data Engineer (Streaming + AI Systems)
Calliere
Toronto, Ontario · Greater Toronto Area, Ontario
Full-time
…infrastructure space that’s investing heavily in building a modern data platform from the ground up. They’re hiring a Senior Data Engineer to lead the design and evolution of real-time data…
Senior Data Engineer - Halifax
Royal Bank of Canada
NS · BEDFORD, Nova Scotia
Full-time
As Senior Data Engineer, in our Halifax team, in the Risk IT Data Services team, you will design, implement and support Data architecture best practices and processes within Risk IT Data…
Senior Platform Engineer
Scotiabank
Toronto, Ontario
This Senior Platform Engineer will contribute to the overall success of the GBM in globally ensuring specific individual goals, plans, initiatives are executed / delivered in support of the…
Senior Data Engineer
Aduna Global
Montreal, QC
Full-time
This is a hands-on senior data engineering role with real architectural ownership. You will design the lakehouse and build it yourself. It is not a pure architect position, and there is no…
Sr. Software Engineer, Data Platform
Enurgen
Remote, Canada
$155,000 to $180,000 CAD / year
Full-time · Remote
5+ years (Senior) building production software, ideally data-intensive systems
Senior Specialist, Data & Cloud Platform & Microsoft Azure
PowerCo SE
St. Thomas, ON
This senior expert role is pivotal in advancing PowerCo’s data-driven and cloud transformation. You will architect and lead Azure-based data and compute platforms that support predictive…
Senior Software Engineer – Data Cloud & Marketing Technology
Equinix
Toronto, ON
Full-time
Equinix's Digital Innovation Office is seeking a Senior Software Engineer – Data Cloud & Marketing Technology to own the Salesforce Data Cloud platform and its integration across Sales…
Senior Product Cybersecurity Engineer - Platform Security
L3Harris Technologies
Montreal, QC
Minimum of 10 years of experience in cybersecurity serving as a Senior IT/Security Administrator, Security Engineer, or Security Architect within engineering-driven product development…
Global Enterprise AI Sales Engineer – NVIDIA AI Data Platform
Hammerspace
Canada
Hammerspace is seeking a senior, customer-facing Global Enterprise AI Sales Engineer, Working hand in hand with the Global Enterprise Sales Executive, you will accelerate the adoption of…
Senior Staff Software Engineer, Platform
Rippling
Toronto, ON
$201,000 to $335,000 CAD / year
As a Senior Staff Engineer, you'll help define the architecture that powers both Rippling's platform and its next generation of AI-native products. You'll solve distributed systems…

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
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 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.

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
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

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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