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Added 1 month ago
Specialist Programmer
Infosys
Calgary, AB
Full-time
Java, Spring Boot and Microservices, Angular/React JS, Docker and K8S.
Added 28 days ago
Principal Engineer, AI
BMO
Toronto, ON · BMOPLACE
Full-time
…experienced Principal/Senior engineers to build and operate the core infrastructure that governs how AI runs at BMO - the AI Gateway, Policy Engine, Identity Fabric, AI Registry, Guardrails…
Added 28 days ago
Principal Engineer, AI Platform
BMO
Toronto, ON · BMOPLACE
Full-time
…experienced Principal/Senior engineers to build and operate the core infrastructure that governs how AI runs at BMO: the AI Gateway, Policy Engine, Identity Fabric, AI Registry, Guardrails…
Added 28 days ago
Applied Scientist, Tax Engine
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Vancouver, BC
We are responsible for the tax calculation platform, providing the core services that calculate taxes (sales tax and VAT) for all Amazon sales, physical and digital, globally. We seek to…
Added 1 month ago
Programmer Analyst
Societe Generale
Montreal, QC
Full-time
At Societe Generale, we live by our 4 core values of commitment, responsibility, team spirit and innovation. We are engaged and demonstrate consideration for others. We act ethically and…
Added 1 month ago
Staff Software Engineer, Tech Lead
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Canada
Full-time
We’re looking for a Software Developer to join our dynamic Employee Development team, which focuses on providing experiences that enable our customers to manage the performance and growth…
Added 1 month ago
Staff FullStack Engineer, Okta Secures AI
Okta
Toronto, ON
$160,000 to $220,000 CAD / year
Full-time
Drive continual evolution in the adoption of AI-native development practices, helping the team rethink how we design, review, and ship software with AI as a core part of the workflow.
Added 28 days ago
Senior Artificial Intelligence Platform Engineer & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-time
…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…
Added 28 days ago
Senior Artificial Intelligence Platform Engineer, AI Platform & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-time
…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…
Added 28 days ago
Java Developer, TD Securities
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Toronto, ON
Full-time
The Core Payment team is an exciting, innovative and growing team responsible for creating and enhancing payments shared services like Limit management, Scheduling recuring payments,…
Added 28 days ago
Software Engineer, Full-Stack Applications, Associate Director
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Toronto, ON
As a member of our Ratings Technology team, you will work on modern full-stack applications that support core business capabilities, partnering closely with engineers, product managers, and…
Added 1 month ago
Staff FullStack Engineer, Okta Secures AI
Okta
Waterloo, ON
$160,000 to $220,000 CAD / year
Full-time
Drive continual evolution in the adoption of AI-native development practices, helping the team rethink how we design, review, and ship software with AI as a core part of the workflow.
Added 26 days ago
Sr. Software Development Engineer in Test (Agentic)
Dialpad
Vancouver, BC
…operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and…
Added 28 days ago
Research Intern, PhD, Summer 2027
Google
Toronto, ON · Waterloo, ON · Montreal, QC
Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
Added 23 days ago
2027 Wealth Management, Winter Technology/Developer (4-16 months)
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Toronto, ON · VANCOUVER, British Columbia
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We are seeking Winter co-ops across several Technology/Developer roles (including but not limited to the following: Software Developer, Quant Developer, Operation Analyst and Cybersecurity,…
Added 28 days ago
2027 Wealth Management, Winter Technology/Developer (4-16 months)
RBC
Toronto, ON · Vancouver, BC
Full-time
We are seeking Winter co-ops across several Technology/Developer roles (including but not limited to the following: Software Developer, Quant Developer, Operation Analyst and Cybersecurity,…
Added 1 month ago
Salesforce AI & Data Cloud Solutions Engineer
AGF Investments
Toronto, ON
Full-time
Proficiency in JavaScript, Python, Java or similar programming languages.
Added 29 days 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 25 days ago
Lead AI Software Engineer
Royal Bank of Canada
Vancouver, BC
Full-time
Expert in multiple programming languages/frameworks such as: Java, Spring, Scala, Spark, JavaScript, UI framework (Angular / React / Vue.js), .NET, Python, HTML5/CSS, SQL, etc.
Added 1 month ago
Lead AI Software Engineer
RBC
Vancouver, BC
Full-time
Expert in multiple programming languages/frameworks such as: Java, Spring, Scala, Spark, JavaScript, UI framework (Angular / React / Vue.js), .NET, Python, HTML5/CSS, SQL, etc.
Added 1 month ago
Senior Frontend developer
RBC
Toronto, ON
Full-time
As a Software Developer operating within an Agile product team, your primary role will be designing, coding, and delivering highest-quality software solutions that will be used within IMJ…
Added 1 month ago
Junior Back End Engineer
Common Wealth Retirement
Vancouver, BC
Full-time
This role focuses on the back end - building robust, scalable systems with Java/Kotlin, PostgreSQL, and AWS. If you're also comfortable working full stack (React/TypeScript on the front…
Added 1 month ago
Junior Front End Engineer
Common Wealth Retirement
Vancouver, BC
Full-time
…on our AWS infrastructure. Familiarity with full-stack work (Java/Kotlin/PostgreSQL back end) is a bonus. We value engineers who move fluidly across the stack and work closely with product…
Added 2 months ago
Software Engineer I
Beanfield
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Core Development: Write clean, efficient, and scalable code in Python and Java.
Added 1 month ago
Lead Core Backend Developer
Citi
Mississauga, ON
Full-time
We are looking for a talented and passionate individual to join our Java Server development team and continue to evolve our next-generation rates reference data application.

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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