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Added 1 month ago
Staff Software Engineer, Tech Lead
Toast
Canada
Full-time
Strong foundation in Java, Kotlin or other object oriented language(s)
Added 1 month ago
Senior Software Developer - Full Stack Web Application
CIeNET Technologies
Markham, ON
$100,000 to $150,000 CAD / year
Full-time
The ideal candidate is a hands-on software engineer with strong systems thinking, excellent communication skills, and the ability to own features end-to-end - from concept through…
Added 1 month ago
Staff FullStack Engineer, Okta Secures AI
Okta
Toronto, ON
$160,000 to $220,000 CAD / year
Full-time
As a Staff Fullstack Engineer on the Okta Secures AI team, your mission is to build the industry's first Identity Security Fabric for the agentic era. You are the architect of our unified…
Added 28 days ago
Senior Artificial Intelligence Platform Engineer & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-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 28 days ago
Senior Artificial Intelligence Platform Engineer, AI Platform & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-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 28 days ago
Software Dev Engineer II, 1P Audio Video Measurement
Amazon
Toronto, ON
As a Software Development Engineer II on the team, you will be responsible for the design, implementation, testing, and deployment of data-intensive analytical solution that will help steer…
Added 28 days ago
Software Engineer, Full-Stack Applications, Associate Director
Fitch Group
Toronto, ON
…stakeholders. We are looking for a highly experienced software engineer with deep expertise in Java and React, strong software engineering fundamentals, and a passion for building scalable,…
Added 1 month ago
Staff FullStack Engineer, Okta Secures AI
Okta
Waterloo, ON
$160,000 to $220,000 CAD / year
Full-time
As a Staff Fullstack Engineer on the Okta Secures AI team, your mission is to build the industry's first Identity Security Fabric for the agentic era. You are the architect of our unified…
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 28 days ago
Lead Data and AI Engineer
Sanofi
Toronto, ON
Full-time
Advanced SQL and data modeling skills, with working knowledge of Python and scripting languages; Scala or Java is a plus
Added 26 days ago
Sr. Software Development Engineer in Test (Agentic)
Dialpad
Vancouver, BC
Strong programming skills in Python (preferred), Java, or JavaScript.
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
Senior TypeScript Engineer
MapsPeople
Toronto, ON
Full-time
…customers worldwide. We are looking for a Senior TypeScript Engineer to join our team and play a key role in building and evolving our platform using a modern TypeScript-first stack,…
Added 1 month ago
Salesforce AI & Data Cloud Solutions Engineer
AGF Investments
Toronto, ON
Full-time
We're seeking a Salesforce AI & Data Cloud Solutions Engineer to modernize AGF’s CRM ecosystem through Data Cloud/Data360, Agentforce, automation, and advanced Salesforce capabilities.
Added 1 month ago
Technical Director, Live Games
Big Viking Games
Remote, Canada
Full-time · Remote
The work spans the full stack: TypeScript and HTML5 on the client, a custom WebGL rendering layer, Java real-time game servers, PHP backend services, MySQL, Redis, Memcached, RabbitMQ,…
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 1 month ago
Machine Learning Engineer
eBay
Toronto, ON
Full-time
Experience building large-scale distributed applications and proficiency in an object-oriented or modern programming language such as Java, Scala, or Python.
Added 3 months ago
Project Manager | HRBrain
HRbrain Inc.
Mississauga, ON
Contract
Technical Skills: Proficiency in PeopleCode, Java, XML, Cobol.
Added 1 month ago
Lead Data Engineer
J&M Group
Toronto, ON
Contract
We are hiring for a Lead Data Engineer. The role focuses on production support and management of data engineering pipelines, including data ingestion, processing, monitoring, and incident…
Added 1 month ago
Big Data Engineer
TMX Group
Toronto, ON
$130,000 to $140,000 CAD / year
Full-time
We are seeking a seasoned and motivated Big Data Engineer to join our growing Enterprise Data and Advanced Analytics Platform team. The ideal candidate is an expert data pipeline builder…
Added 1 month ago
Lead Engineer, Credit Investments, Alternative Investments Technology
CPP Investments | Investissements RPC
Toronto, ON
Full-time
As a Lead Software Engineer, you will guide and participate in the end-to-end delivery and support of technology solutions and products that enable complex investment capabilities. You will…
Added 1 month ago
Support Engineer, Selling Partner Financial Technology
Amazon
Vancouver, BC
- Work on operations and maintenance driven coding projects, primarily in Java

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 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 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.

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

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