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Added 1 month ago
Principal Consultant - Cybersecurity & Agentic AI
Synechron
Toronto, ON · Greater Toronto Area, Canada
$130,000 to $145,000 CAD / year
Full-time
Advanced technical proficiency in multiple programming language (Java, C#, C, C++, Python, JavaScript/TypeScript, .NET, Go) with proven ability to personally write, review, and remediate…
Added 28 days ago
Principal Engineer, AI
BMO
Toronto, ON · BMOPLACE
Full-time
Strong programming skills (Python and/or Go preferred; TypeScript/Java an asset) for building performant services, APIs, and integrations.
Added 28 days ago
Principal Engineer, AI Platform
BMO
Toronto, ON · BMOPLACE
Full-time
Strong programming skills (Python and/or Go preferred; TypeScript/Java an asset) for building performant services, APIs, and integrations.
Added 28 days ago
Senior Data Engineer
Scotiabank
Toronto, ON
We are seeking an experienced Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) to join our growing team. In this role, you will be responsible for designing,…
Added 28 days ago
Senior Artificial Intelligence Platform Engineer & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-time
Strong programming skills (Python and/or Go preferred; TypeScript/Java an asset) for building services, APIs, and integrations.
Added 28 days ago
Senior Artificial Intelligence Platform Engineer, AI Platform & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-time
Strong programming skills (Python and/or Go preferred; TypeScript/Java an asset) for building services, APIs, and integrations.
Added 1 month ago
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Vancouver, BC
Full-time
As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves…
Added 1 month ago
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Toronto, ON
Full-time
As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves…
Added 1 month ago
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Montreal, QC
Full-time
As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves…
Added 1 month ago
Big Data Engineer
TMX Group
Toronto, ON
$130,000 to $140,000 CAD / year
Full-time
Programming: Proficiency in Python, Scala, Shell Scripting, or Java.
Added 1 month ago
Java Developer
Capgemini
Montreal, QC
We're seeking a Java Engineer to join our Firm Market Risk Technology team. In this role, you will develop and enhance the Firm's Market Risk Platform.
Added 1 month ago
Senior Software Engineer - Brokerage Platform
Moomoo Canada
Toronto, ON · North York, ON
Full-time
We are looking for an experienced Senior Software Engineer to join our engineering team in Toronto.
Added 1 month ago
Senior Workday (HCM) Test Engineer
Cognizant
Toronto, ON
$60,000 to $90,000 CAD / year
Full-time
We are looking for a Senior Workday Test Engineer with Workday HCM (Recruiting) testing experience. In this role, you will be responsible for designing, building, and executing…
Added 1 month ago
Senior DevOps Engineer
e-STORAGE
Kitchener, ON
Full-time
We are seeking a talented Sr DevOps Engineer to join our dynamic team and contribute to the delivery of on-site and cloud-based Energy Management System (EMS) for utility grade systems. The…
Added 1 month ago
DevOps Engineer - Senior
Symbiotic Digital
ON · Downtown Toronto (CN Tower / King and Spadina / Railway Lands / Harbourfront West / Bathurst Quay / South Niagara / YTZ), Ontario
Contract
We are seeking a Senior DevOps/Cloud Engineer to support the
Added 1 month ago
Senior SDET (IC4) - Senior Software Engineer in Test
Emburse
Toronto, ON
Full-time
Emburse is seeking a skilled and detail-oriented Senior Software Development Engineer in Test (SDET) to join our engineering team. In this role, you will bridge the gap between software…
Added 13 days ago
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…
Added 1 month ago
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…
Added 1 month ago
Senior Engineer, TFM, Risk & Total Fund Management Technology
CPP Investments | Investissements RPC
Toronto, ON
Full-time
As Senior Engineer, Total Fund Management Technology, you will design, build, test, and support technology solutions that enable portfolio construction, monitoring, analytics, and Total…
Added 1 month ago
Senior Test Automation Engineer
PureFacts Financial Solutions
Toronto, ON
$100,000 to $120,000 CAD / year
We are seeking a highly skilled and self-motivated Senior Test Automation Engineer to join our Quality Engineering team. The ideal candidate will have extensive experience in test…
Added 1 month ago
Software Engineer III/Senior Software Engineer (Full Stack)
Workday
Vancouver, BC
Full-time
P4 Senior Software Engineer Basic Qualifications:
Added 1 month ago
Java Developer
Capgemini
Montreal, QC
We're seeking a Java Engineer to join our Market Risk Technology team. In this role, you will develop and enhance the Market Risk Platform.
Added 11 days ago
Senior Java Developer – Vice President
Citi
Mississauga, ON
Full-time
We are seeking a highly skilled and experienced Senior Java Engineer to join our dynamic team. The ideal candidate will be a hands-on developer with leadership quality, proficient in modern…
Added 1 month ago
Senior Full Stack Engineer
UST
Toronto, ON
Full-time
UST is searching for a Senior Full Stack Engineer with strong Front End expertise to help build and scale high‑impact digital platforms used by millions of users. This is an opportunity to…
Added 1 month ago
Senior DevOps Engineer
DataStealth
Mississauga, ON
Full-time
We are looking for a skilled DevOps Engineer to join our team and help streamline software delivery, infrastructure management, and system reliability. You will work closely with the rest…

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 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

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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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More about this job

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.

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

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