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Added 28 days ago
Senior Java Backend Engineer – AI/Workflow
Astek
Montreal, QC
Full-time
3 + years of hands-on software development experience in Java ecosystem
Added 28 days ago
Senior Salesforce Automation Test Engineer
Cognizant
Toronto, ON
$90,000 to $125,000 CAD / year
Full-time
Must have 6+ years of hands-on test automation using modern programming languages (e.g., Java or Python) paired with web automation tools (e.g., Selenium or Playwright).
Added 27 days ago
Software Engineer, Senior
Qualcomm
Toronto, ON
Full-time
2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Added 27 days ago
Staff Engineer – Software Development, Architecture, Security & Governance
Royal Bank of Canada
Toronto, ON
Full-time
Strong proficiency in Python and/or experience in additional languages such as NodeJS, Java, or C++.
Added 27 days ago
Staff Engineer – Software Development, Architecture, Security & Governance
RBC
Toronto, ON
Full-time
Strong proficiency in Python and/or experience in additional languages such as NodeJS, Java, or C++.
Added 1 month ago
Senior Java Software Engineer
Synechron
Mississauga, ON
$115,000 to $122,000 CAD / year
Full-time
We are looking for a highly skilled Senior Java Developer to join our company. In this role, candidate will design, create, and implement various Java-based solutions for the business that…
Added 29 days ago
Senior Full Stack Engineer - Chief Technology Officer (CTO) - Platform Engineer
HSBC
Toronto, ON
Full-time
Join Chief Technology Officer (CTO) Platforms as a Senior Full Stack Engineer focused on app.hsbc with end-to-end responsibility for one or more platform products and services. This is a…
Added 29 days ago
Staff Engineer, Site Reliability Engineering
General Motors
Markham, ON
Full-time
We are seeking a Staff Engineer to help make GM’s data platforms reliable, observable, operable, and scalable. This is a senior technical leadership role for someone who can move…
Added 1 month ago
Senior Site Reliability Engineer I
Braze
Toronto, ON
Full-time
Professional Experience: 5+ years of experience as a DevOps, or Site Reliability Engineer in a high-scale production environment
Added 1 month ago
Senior Site Reliability Engineer I
Braze
Vancouver, BC
Full-time
Professional Experience: 5+ years of experience as a DevOps, or Site Reliability Engineer in a high-scale production environment
Added 1 month ago
Quality Assurance Automation Engineer
Synechron
Calgary, AB
$85,000 to $90,000 CAD / year
Full-time
We are seeking a highly skilled and adaptable Senior QA Automation Engineer (SDET) to join our dynamic, global QA team. The ideal candidate thrives in fast-paced, ever-evolving environments…
Added 29 days ago
Software Engineer II, Platform
Ripple
Toronto, ON
3–6 years of relevant work experience with development background in Go, Python, or Java, with a good understanding of software engineering best practices and system design
Added 19 days ago
Backend / Microservices Engineer
Synechron
Mississauga, ON
Full-time
We are looking for a Senior Java Back End developer to support our banking client. Needing at least seven years of experience and previous banking experience is highly desired. Build the…
Added 1 month ago
Senior Site Reliability Engineer I
Braze
Vancouver, BC
Professional Experience: 5+ years of experience as a DevOps, or Site Reliability Engineer in a high-scale production environment
Added 1 month ago
Senior Site Reliability Engineer I
Braze
Toronto, ON
Professional Experience: 5+ years of experience as a DevOps, or Site Reliability Engineer in a high-scale production environment
Added 28 days ago
Lead AI Engineer
Royal Bank of Canada
Toronto, ON
Full-time
…and proficiency in modern development technologies (.NET/C#, Java, Python). You will effectively communicate and collaborate with engineering teams, business stakeholders, and senior…
Added 1 month ago
QE Lead, Quality, Non-Functional
Vancity
Vancouver, BC · Toronto, ON
Full-time
As an Engineering Lead, Quality, Non-Functional, you will play a senior technical role responsible for ensuring the quality engineering capabilities, performance, scalability, reliability,…
Added 1 month ago
QE Lead, Payments
Vancity
Vancouver, BC · Toronto, ON
Full-time
As an QE Lead, Payments, you will play a senior technical role responsible for ensuring the quality, reliability, and performance of member-facing platforms through hands-on engineering…
Added 19 days ago
Lead AI Engineer
RBC
Toronto, ON
Full-time
…and proficiency in modern development technologies (.NET/C#, Java, Python). You will effectively communicate and collaborate with engineering teams, business stakeholders, and senior…
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 1 month 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 1 month 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 1 month 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
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.

BMO

Principal Engineer, AI

Toronto, ON, Canada
BMOPLACE, Canada

Pay: $94,600.00 - $176,000.00
Job type: Full-time
Apply by: Oct 30, 2026
Experience: 8+ years of software/platform engineering experience (Principal), or 5+ years (Senior), with substantial time building and operating shared platform services at enterprise scale.
Posting language: English
Posted: Aug 24, 2026

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Original job description

Application Deadline:

10/29/2026

Address:

33 Dundas Street West

Job Family Group:

Technology

Principal Engineer, AI Platform & Fabrics

Description

BMO is building the platform capabilities that make enterprise AI safe, 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, Identity Fabric, AI Registry, Guardrails Runtime, and AI Observability.

This is a build-and-run engineering role. You will be part of the team that own Enterprise AI Platform capabilities end to end: Building, configuring and operating them in production, including on-call. You will not build the AI models or applications themselves (those are domain-owned); you 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 who has built shared platform services at scale, cares deeply about operability, latency, and correctness, and understands that in a regulated bank the infrastructure must produce its own evidence. You are energized by taking real engineering assets that includes an existing developer portal, an AI registry, a body of policy-as-code, and gateway integrations and hardening, scaling, enhancing and governing them into enterprise-grade platform capabilities. You raise the technical bar for those around you and mentor as you build.

What You'll Build & Operate

Depending on your specialization, you will own one or more of the following capability areas:

Enterprise Control Plane

Portal & Registry - a federated AI Registry (agents, models, tools, channels, evaluations across 16+ asset types) with self-service onboarding and lifecycle workflows; federation with external registries (Agent 365, AgentCore, MLflow).
Policy Engine - policy-as-code infrastructure (Cedar/OPA), a policy compilation pipeline, GitOps-based domain-scoped bundle distribution, risk-tiered approval workflows, and a policy simulation sandbox.
Observability & Audit - a multi-pipeline telemetry architecture (operational + security + compliance), OpenTelemetry GenAI conventions, cross-pipeline trace correlation, lineage-stamped traces, and a 7-year tamper-evident audit lake producing regulator-ready evidence.
Governance & Lifecycle - certification workflows, automated compliance scoring, decommission governance, and evidence generation for architecture and model-risk review.

Domain Orchestration

Gateway Runtime - domain-hub deployment across AWS and Azure; an inline enforcement engine performing request-time policy evaluation, routing, residency, budget/quota, and circuit breaking within strict tiered latency budgets (Fast <5ms / Standard <25ms / Full <50ms); cross-region failover.
Guardrails Runtime - a multi-stage safety pipeline (input moderation → prompt-injection defense → PII → output validation → hallucination detection → policy enforcement) with bilingual EN/FR parity and behavioral guardrails for agentic workloads (goal hijacking, intent drift, excessive agency).
Identity Fabric - workload identity for AI (SPIFFE/SPIRE), token-exchange bridging, per-domain trust boundaries, Entra Agent ID integration, on-behalf-of identity propagation, and cross-cloud token federation with zero-trust attestation.

What You'll Do

Own capabilities end to end: design, implement, test, ship, and operate production infrastructure.
Engineer for operability and defensibility from day one: instrumentation, SLOs, latency budgets, failure modes, and runtime evidence built in, not bolted on.
Build the APIs, SD'able interfaces, and integrations through which domains, DevOps pipelines, and enterprise systems consume platform capabilities.
Implement policy enforcement, guardrails, identity attestation, and audit as first-class engineering concerns: correct, performant, and provable.
Ensure every capability produces runtime evidence connecting AI activity to policy enforcement, identity, and lineage for model-risk and regulatory review (OSFI E-23, OCC).
Assess emerging AI infrastructure, foundation-model access patterns, and standards; make deliberate, cost-aware engineering choices.
Mentor and raise the bar: set engineering standards, review designs and code, and grow depth across the team.
Partner closely with AI Developer Experience, AI Security and AI SDLC, and the Senior AI Architect in your platform build and operations.

Education & Experience

Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline (Master's preferred).
8+ years of software/platform engineering experience (Principal), or 5+ years (Senior), with substantial time building and operating shared platform services at enterprise scale.
Demonstrated experience operating production infrastructure with real SLOs and on-call ownership, ideally in a regulated industry (financial services strongly preferred).
Depth in one or more of: API gateways / traffic enforcement; policy-as-code and authorization; workload identity / zero-trust; observability and telemetry pipelines; audit/compliance data platforms.

Required Core Skills

Platform Engineering Depth

Strong distributed-systems and platform-engineering fundamentals: latency-sensitive request paths, resilience patterns (circuit breakers, failover), multi-tenancy, and high availability.
Strong programming skills (Python and/or Go preferred; TypeScript/Java an asset) for building performant services, APIs, and integrations.
Cloud-native architecture across AWS and Azure: containers/Kubernetes, service mesh, and Infrastructure as Code (CDK, Terraform, CloudFormation/ARM).
Robust CI/CD, GitOps, and DevSecOps practice; Git-based workflows (Bitbucket/GitHub), Jira, Confluence.

Capability-Specific Depth (one or more)

Policy/Authorization: Cedar, OPA/Rego, policy compilation and distribution, risk-tiered approval workflows.
Identity/Zero-Trust: SPIFFE/SPIRE, mTLS, token exchange, OAuth/OIDC, federated and cross-cloud identity, Entra ID/Agent ID.
Observability/Audit: OpenTelemetry (incl. GenAI conventions), distributed tracing, Dynatrace/Splunk or equivalents, tamper-evident/immutable audit stores, data lineage.
Gateway/Guardrails: API gateway internals, inline enforcement, LLM routing/abstraction, prompt-injection and PII defenses, hallucination detection, AI evaluation.
Registry/Portal: service catalogues, asset registries, lifecycle workflows, federation with external registries.

GenAI & Governance Context

Working knowledge of GenAI platform patterns: LLM/AI gateways, RAG and agentic patterns, foundation models, embeddings, and guardrails - sufficient to build the infrastructure they depend on.
Familiarity with AI/ML platforms (Bedrock, Azure OpenAI, SageMaker, MLflow) and orchestration frameworks (LangChain, LlamaIndex).
Grounding in Responsible AI, AI/data governance, privacy, cloud security, and IAM as applied to AI workloads.

Certifications (Preferred)

AWS Certified Solutions Architect (Associate/Professional) / ML – Specialty
Microsoft Certified: Azure Solutions Architect Expert / Azure AI Engineer Associate
Security/identity certifications (relevant to Identity Fabric roles)
Databricks / Google Cloud ML credentials; relevant GenAI/LLM credentials

Other Skills

Strong communication and collaboration across engineering, security, architecture, and domain teams.
A critical thinker with strong analytical and problem-solving skills.
Self-directed, comfortable with ambiguity and a fast-evolving mandate.
Able to deliver complex work under tight timelines; participates in on-call rotation for owned services.

Salary:

$94,600.00 - $176,000.00

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

You will design, build, and operate enterprise AI platform capabilities including gateways, policy engines, and observability infrastructure. This role requires hands-on engineering to ensure AI workloads are governed, scalable, and compliant with regulatory standards.

Requirements

Candidates must have 5-8+ years of experience in platform engineering with strong proficiency in distributed systems and cloud-native architectures. A bachelor's degree in a technical discipline is required, along with deep expertise in at least one area of AI infrastructure or security.

Skills

Platform engineering
Distributed systems
Python
Go
Kubernetes
Infrastructure as code
Terraform
AWS
Azure
API gateways
Policy-as-code
Zero-trust
Observability
OpenTelemetry
GitOps
CI/CD

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

AI Platform
Infrastructure as Code
Cloud-native
Kubernetes
AWS
Azure
Python
Go
Terraform
OpenTelemetry
Policy-as-code
Zero-trust
API Gateway
GenAI
LLM
RAG
GitOps
CI/CD
Compliance
Regulatory
Financial Services
Distributed Systems
Observability
Identity Fabric
SPIFFE
SPIRE
Cedar
OPA
MLflow
Bedrock

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