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Added 28 mins ago
SL
AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Corporate IT is looking for AI Engineer with at least 2 years of development experience. This role will be instrumental in driving innovation, implementing cloud capabilities, and building…
Added 28 mins ago
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON · FCP
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.…
Added 56 mins ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 56 mins ago
B
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
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.…
Added 1 hour ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 6 hours ago
H
Quality Engineer
Hays
Toronto, ON
- Contract
Azure DevOps, Azure ML, ISTQB, Google Cloud Professional Data Engineer, or Professional Cloud Developer certifications.
Added 19 hours ago
GC
Senior Forward Deployed Engineer
Greenlight Consulting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The Senior Forward Deployed Engineer is Greenlight's most senior technical delivery role. You design, build, and operationalize AI agent workflows and intelligent automation solutions -…
Added 3 days ago
Senior Software Engineer
Fleetworthy
Edmonton, AB
Familiarity with build pipelines, e.g., GitHub Actions, GitLab, BitBucket, Azure DevOps
Added 3 days ago
T
DevOps Engineer
TEEMA
Toronto, ON
- $115,000 to $120,000 CAD / year
- Full-time
We’re looking for an experienced DevOps / Infrastructure Engineer with strong AWS and/or GCP expertise to join a collaborative technology team.
Added 3 days ago
GL
Vmware Engineer
Green Light Worldwide
Montreal, QC
- Contract
We are seeking a highly skilled VMware Consultant with expertise in NSX, VMware Cloud Foundation (VCF), vRealize Orchestrator (vRO), and vRealize Automation (vRA) to join our dynamic…
Added 4 days ago
S
Sr Full Stack AI Engineer - Calgary ,Canada (Hybrid)
Straive
Calgary, AB
- Full-time
…enterprise applications across backend, frontend, databases, APIs, cloud, and DevOps. In addition to individual technical contribution, this person should be comfortable coaching junior…
Added 5 days ago
H
Data Engineer
Hays
Toronto, ON
- Contract
We are seeking an experienced Senior Data Engineer with a strong background in Asset Management and modern cloud-based data platforms. The successful candidate will play a key role in…
Added 5 days ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 5 days ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 5 days ago
TI
Data Engineer
TekStaff IT Solutions
Toronto, ON · Greater Toronto Area, Canada
- Contract
As a Senior Data Engineer, you will be a key contributor to SLC’s enterprise data platform strategy, enabling self‑serve analytics, scalable data products, and robust data governance across…
Added 6 days ago
Senior Infrastructure Engineer
Upstart
Canada
As the Senior Infrastructure Engineer joining this team, you will focus on:
Added 6 days ago
RB
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
…digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem. In this…
Added 6 days ago
R
Senior Data Engineer
RBC
Vancouver, BC
- Full-time
…digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem. In this…
Added 6 days ago
Senior Software Engineer
Bentley Systems
Quebec, QC
This is an excellent opportunity for a passionate engineer who enjoys technical ownership, continuous learning, and driving innovation in a collaborative environment.
Added 6 days ago
B
Intermediate AWS Developer, Wealth Management Technologies
BMO
Toronto, ON · BMOPLACE
- Full-time
AWS certifications (Developer Associate, Solutions Architect Associate, or DevOps Engineer Professional).
Added 6 days ago
D
Senior Java Software Engineer
Dexian
Mississauga, ON
- Contract
…expertise in Java, Spring Boot, REST APIs, Microservices, and Cloud technologies. The ideal candidate must have solid experience working within the Banking/Financial Services domain and be…
Added 6 days ago
CS
Application Security Engineer
Cybage Software
Canada
- Contract
Design and implement security architectures and controls for large-scale, cloud-native applications.
Added 6 days ago
PS
Senior Software Engineer – Full Stack
Publicis Sapient
Toronto, ON
- Full-time
Hands-on experience with DevOps practices, including:
Added 7 days ago
TT
Senior Data Engineer
Tundra Technical Solutions
Toronto, ON
- $70 to $77 CAD / hour
- Contract
We are seeking a highly skilled Senior Data Engineer to join our growing Data & AI Marketplace team. In this role, you will be responsible for designing, building, and optimizing scalable…
Added 9 days ago
NR
Senior Data Platform Engineer
Norton Rose Fulbright
Toronto, ON · Calgary, AB
- Full-time
The Senior Data Platform Engineer will act as a technical lead for our technologies in any project or initiative, and is responsible for designing, developing, implementing, and supporting…

BMO

Senior Platform Engineer, AI & Fabrics

Toronto, ON, Canada

$70,000.00 - $150,000.00 · Part-time

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Job details

Pay: $70,000.00 - $150,000.00
Job type: Part-time
Apply by: Nov 4, 2026
Experience: 5+ years of software/platform engineering experience, including hands-on experience building and operating production services.
Posting language: English
Posted: Oct 5, 2026

Original job description

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:

$70,000.00 - $150,000.00

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.

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More about this job

Responsibilities

Build, test, deploy, and operate components of BMO’s governed AI platform, including its registry, policy engine, gateway, guardrails, identity fabric, and observability capabilities. Develop integrations and APIs, support production operations and on-call, and ensure platform services generate evidence of policy enforcement, identity, and AI activity for regulatory review.

Requirements

Requires a bachelor’s degree in computer science, software engineering, or a related technical discipline, plus at least five years of software or platform engineering experience building and operating production services. Candidates need strong programming and distributed-systems fundamentals, cloud-native experience with AWS and/or Azure, and hands-on depth in at least one relevant area such as policy, identity, observability, audit, gateways, or guardrails.

Skills

Platform Engineering
Python
Go
AWS
Azure
Kubernetes
Terraform
CI/CD
GitOps
Policy-as-Code
Cedar
OPA/Rego
SPIFFE/SPIRE
OAuth/OIDC
OpenTelemetry
API Gateway Development

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 Gateway
Policy Engine
Identity Fabric
AI Registry
Guardrails Runtime
AI Observability
AWS
Azure
Kubernetes
Python
Go
TypeScript
Java
Terraform
CloudFormation
Cedar
OPA/Rego
SPIFFE/SPIRE
OAuth/OIDC
OpenTelemetry
GitOps
DevSecOps
Bedrock
Azure OpenAI
SageMaker
MLflow
LangChain
LlamaIndex
Responsible AI
OSFI

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