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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
…will work hands-on alongside our cybersecurity engineering and application security teams to build, operate, and advance the agentic AI systems that find, exploit, and remediate…
Added 1 month ago
Sr. Java backend Developer
J&M Group
Toronto, ON
Contract
We're looking for an experienced Java Backend Developer to join our dynamic team. You'll play a crucial role in delivering innovative integration solutions for our Commercial Banking…
Added 26 days ago
IT Business Operations Manager
Jeld-Wen Inc.
Woodbridge, ON
Advanced programming across major languages (C#, Java, Python, Progress 4GL, VB, SQL) to develop, enhance and maintain plant automation, integrations and custom applications
Added 4 months ago
Forward Deployment Engineer
SymphonyAI
UNAVAILABLE, Ontario
Full-time
➕ Coding experience in one of the main modern languages: python, java, etc…
Added 27 days ago
Analyst, Full Stack Engineer
BMO
Toronto, ON · FCP
Programming language proficiency in Python, JavaScript/TypeScript, with familiarity in C#, Scala, or Java
Added 27 days ago
Senior Java Developer - Assistant Vice President
Citi
Mississauga, ON
Full-time
The Senior Java Developer is responsible for designing, developing, and delivering high‑quality, scalable, and highly available applications in collaboration with cross‑functional…
Added 5 months ago
Site Reliability Engineer
KPMG
Vaughan, ON · ON · Kitchener, Ontario
Full-time
Other software development experience, including scripting with Ruby, Python, Bash, PowerShell, and Java
Added 27 days ago
Deployed Software Engineer (experienced) - Canada
Arondite
Remote, Canada
Full-time · Remote
Strong core programming skills in either server-side languages such as C++, Java, Rust or Python, or front-end development in TypeScript or JavaScript using frameworks such as Angular or…
Added 1 month ago
Software Development Engineer, WW Deals & Promotions
Amazon
Vancouver, BC
Full-time
Strong proficiency in at least one major programming language (e.g. Java, Python, C++, etc.)
Added 28 days ago
Principal Engineer, AI
BMO
Toronto, ON · BMOPLACE
Full-time
Partner closely with AI Developer Experience, AI Security and AI SDLC, and the Senior AI Architect in your platform build and operations.
Added 28 days ago
Principal Engineer, AI Platform
BMO
Toronto, ON · BMOPLACE
Full-time
Partner closely with AI Developer Experience (so domains can consume what you build), AI Security and AI SDLC (embedded specializations), and the Senior AI Architect (architectural…
Added 2 months ago
Senior Forward Deployed Engineer
Shakudo
Toronto, ON
Full-time
Proficiency in at least one production programming language such as Python, Go, TypeScript, Java, or Scala.
Added 1 month ago
Programmer Analyst
Societe Generale
Montreal, QC
Full-time
To maintain a strong team dynamic that focuses on the delivery of value for the users and maintaining the application with a long-term view.
Added 28 days ago
Senior Artificial Intelligence Platform Engineer & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-time
Partner day-to-day with AI Developer Experience, AI Security, and AI SDLC counterparts as needed to deliver your work.
Added 28 days ago
Senior Artificial Intelligence Platform Engineer, AI Platform & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-time
Partner day-to-day with AI Developer Experience, AI Security, and AI SDLC counterparts as needed to deliver your work.
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 1 month ago
Full Stack Java Developer
J&M Group
Toronto, ON
Contract
Strong programming skills in front-end and back-end technologies such as: Front-end: JavaScript, TypeScript, React, Angular, or Vue.js, Back-end: Java, Node.js, Python, or C#
Added 1 month ago
AI Architect
Synopsys Inc
Mississauga, ON
Full-time
Strong proficiency in Python and at least one of TypeScript/JavaScript, Java, C++, or Go.
Added 10 days ago
Data Solutions Architect
Spaulding Ridge
Toronto, ON
…designing, implementing, and testing modern data, analytics, and application solutions for our clients. This role sits at the intersection of software engineering, Snowflake architecture,…
Added 1 month ago
Architecte de solutions associé | Associate Solutions Architect, CSC Canada
Amazon
Montreal, QC
- Expérience avec un ou plusieurs langages de programmation modernes (Java, Python, Ruby, Node.js, Go, Rust, C#)
Added 1 month ago
Senior Full Stack Developer
J&M Group
Toronto, ON
Full-time
Knowledge of secure coding practices and application security principles
Added 1 month ago
Senior Software Engineer - Brokerage Platform
Moomoo Canada
Toronto, ON · North York, ON
Full-time
Strong backend software development experience in one or more major programming languages such as Java, C++, Go, Python or similar languages
Added 1 month ago
Senior Software Engineer
RBC
Toronto, ON
Full-time
Active Learning, Agile Methodology, Application Integrations, Audio Processing, Authentication, Back-End Development, Detail-Oriented, Enterprise Application Delivery, Grafana, Group…
Added 1 month ago
Java Backend Developer
Capgemini
Toronto, ON
We're looking for an experienced Java Backend Developer to join our dynamic team. You'll play a crucial role in delivering innovative integration solutions for our Commercial Banking…
Added 27 days ago
Senior Software Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Active Learning, Agile Methodology, Application Integrations, Audio Processing, Authentication, Back-End Development, Detail-Oriented, Enterprise Application Delivery, Grafana, Group…

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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