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Added 1 month ago
Senior Frontend Engineer
Forma.ai
Toronto, ON
Full-time
Reporting to the VP of Engineering the Senior Frontend Engineer will play a key role in building, evolving, and scaling Forma’s customer-facing and internal operations experiences.
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
As “Principal Consultant, Agentic AI Cybersecurity Engineer” Candidate will work hands-on alongside our cybersecurity engineering and application security teams to build, operate, and…
Added 1 month ago
Senior Data Engineer
Kainos
Halifax, NS
Full-time
As a Senior Data Engineer at Kainos, you will be responsible or designing and developing data processing and data persistence software components for solutions which handle data at scale.…
Added 18 days ago
Senior Software Engineer II, Currents
Braze
Toronto, ON
We're looking for a Senior Software Engineer II for our Currents team, responsible for building, maintaining, and evolving Currents, our data export system at scale. The Currents system is…
Added 1 month ago
Java Software Engineer
New York Technology Partners
Toronto, ON
Contract
We are looking for highly experienced, hands-on Senior Java Engineers (Architects and leads with strong hands-on Software Engineering background) to join an innovation-focused Agentic AI…
Added 1 month ago
Senior Forward Deployment Engineer
Luxoft
Mississauga, ON
Full-time
The role combines senior software engineering, DevOps, SRE, test automation, application security, and legacy modernization. Approximately 70% of the work involves hands-on coding and…
Added 1 month ago
Engineering Manager
Wattpad
Toronto, ON
Full-time
8+ years of experience in software development with at least 3 years managing a team of 3 or more engineers including those at the Senior level or higher
Added 27 days ago
Sr. Data Engineer, WW Pricing Data and Insights
Amazon
Vancouver, BC
As a Senior Data Engineer, you will be a technical lead on the team, leading designs and mentoring engineerings on the team. you will create data models and ML data infrastructure that…
Added 27 days ago
Director - Data Solution Delivery, Wealth Management
Scotiabank
Toronto, ON
…effectively communicating and discussing analytic insights with senior…
Added 1 month ago
Software Engineer
The MRG Group
Toronto, ON
$85,000 to $130,000 CAD / year
Full-time
We’re hiring software engineers at multiple levels (Intermediate & Senior) to help shape and scale the systems behind AdmitONE, our multi-product ticketing platform.
Added 1 month ago
Staff Software Engineer, Backend
Okta
Toronto, ON
$160,000 to $220,000 CAD / year
Full-time
We are seeking a highly impactful and influential Staff Software Engineer to join our engineering team. The ideal candidate will leverage their deep expertise in distributed systems,…
Added 26 days ago
Senior Staff Software Engineer
Kaseya Careers
Toronto, ON
Senior Staff Software Engineer (Java, Distributed Systems & SaaS Platforms)
Added 1 month ago
Sr Software Engineer / Sr Java Developer
J&M Group
Vancouver, BC
Full-time
We are seeking a highly skilled Senior Software Engineer to join our backend engineering team. This role focuses on designing and delivering high-throughput, low-latency, and resilient…
Added 1 month ago
AI Software Engineer
Associate Staffing
Richmond, BC
Contract
…back-office operations, and financial performance. In this senior contract role, you’ll design, develop, and deploy production-ready AI products - working closely with engineers, data…
Added 28 days ago
Principal Engineer, AI
BMO
Toronto, ON · BMOPLACE
Full-time
…governed, and scalable. We are seeking experienced Principal/Senior engineers to build and operate the core infrastructure that governs how AI runs at BMO - the AI Gateway, Policy Engine,…
Added 28 days ago
Principal Engineer, AI Platform
BMO
Toronto, ON · BMOPLACE
Full-time
…governed, and scalable. We are seeking experienced Principal/Senior engineers to build and operate the core infrastructure that governs how AI runs at BMO: the AI Gateway, Policy Engine,…
Added 2 months ago
Senior Forward Deployed Engineer
Shakudo
Toronto, ON
Full-time
We are seeking a Senior Forward Deployed Engineer to join our ProServe team and work directly with strategic customers to turn business problems into production AI and data systems. This is…
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 1 month ago
Senior Software Developer - Full Stack Web Application
CIeNET Technologies
Markham, ON
$100,000 to $150,000 CAD / year
Full-time
Position: Senior Software Developer - Full Stack Web Application Development
Added 28 days ago
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…
Added 28 days ago
Senior Artificial Intelligence Platform Engineer, AI Platform & 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…
Added 1 month ago
Senior Java Developer (with Python, AWS and Terraform)
Luxoft
Toronto, ON
Contract
🚀 Senior Software Engineer | Java, AWS & AI/ML
Added 27 days ago
Lead Software Engineer, Full-Stack Applications - Innovation Teams
Fitch Group
Toronto, ON
Lead Software Engineer, Full-Stack Applications – Innovation Teams
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…

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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