Find work in Canada.

601,283 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 6 mins ago
MG
Manager Project Management Office
Maxxit Group
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Lead, mentor, and develop the Project Management team, including Project Managers and Project Coordinators.
Added 6 mins ago
AB
Director, Information Technology
Alberta Beverage Container Recycling Corporation
Calgary, AB
- Full-time
Lead prioritization, integration, data quality, and automation to deliver reliable, scalable information.
Added 6 mins ago
TC
Finance Manager
The Crump Group, Inc.
Mississauga, ON
- $100,000 to $120,000 CAD / year
- Full-time
The Crump Group is hiring a proactive, systems-savvy Finance Manager to lead finance partnership with our Sales and Marketing teams and play a key role in company-wide FP&A. You will be the…
Added 6 mins ago
B
Senior Manager, T&O M&A, Strategic Initiatives
BMO
Toronto, ON · FCP
- Full-time
Lead cross-functional governance and coordination across Technology & Operations, Finance, Procurement, Legal, Risk, Compliance, Cybersecurity, Data, Communications, Audit and business…
Added 6 mins ago
Manager, Global Banking and Markets Data Platform Governance
Scotiabank
Toronto, ON
Lead the day-to-day operations of the GBM Data Platform (GBM DP) Intake and Governance processes, including management of streaming architecture access requirements and coordination with…
Added 6 mins ago
F
Manager, Information Security Risk
FCT
Oakville, ON
- Full-time
As the Manager, Information Security Risk, you will lead the assessment, governance, and oversight of information security risks across enterprise technology initiatives, with a primary…
Added 22 mins ago
C
Senior BI Analytics Governance Specialist
Co-operators
Calgary, AB · Guelph, ON · Toronto, ON · Montreal, QC · Quebec, QC
- Full-time
As a Senior BI Analytics Governance Specialist, you will play a key role in advancing enterprise analytics governance practices across the organization. You will support the development,…
Added 22 mins ago
N
Medical Governance Lead
Novartis
Toronto, ON
- Full-time
Help shape trusted, agile and high-quality Medical Affairs execution in Canada. As Medical Governance Lead, you will provide end-to-end governance for GxP and other regulated Medical…
Added 22 mins ago
TH
Medical Affairs Specialist
Teladoc Health
Toronto, ON · ON
- $60,000 to $70,000 CAD / year
- Full-time
…updates, and provider network standards with broader clinical governance…
Added 22 mins ago
N
Medical Governance Lead
Novartis
Toronto, ON
- Full-time
Help shape trusted, agile and high-quality Medical Affairs execution in Canada. As Medical Governance Lead, you will provide end-to-end governance for GxP and other regulated Medical…
Added 22 mins ago
C
Senior Advisor, Strategic Change and Transformation Engagement (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Toronto, ON · Montreal, QC
- Full-time
Guide departments and divisions in evolving their operating models and ways of working, advising on process design, governance, roles and responsibilities, and team collaboration structures.
Added 22 mins ago
AC
Manager, Data and AI - AI Systems Integrations and Agentic technical owner
Air Canada
Toronto, ON · Dorval, QC
- Full-time
The Manager, Data & AI leads the technical integration, deployment and production-readiness capabilities required to operationalize AI products, models, agents and supporting data pipelines…
Added 22 mins ago
R
Director – Implementation Assurance Testing
RBC
Toronto, ON
- Full-time
Reporting to the VP, Credit Modelling & Methodology, the Director, Implementation Assurance Testing will lead the Implementation Assurance Testing (IAT) team, which is accountable for…
Added 37 mins ago
B
Senior Business & Technology Project Manager
BeachHead
Toronto, ON
- Contract
Are you a seasoned Project Manager ready to lead large-scale banking initiatives? Apply Now!
Added 37 mins ago
AS
Sr FinOps Architect
Ardent SoftSol Inc.
Toronto, ON
- Contract
…and Apptio BI. Given the significant amount of on-premises data involved, experience with Power BI, Hyperion, and Microsoft Power Apps is highly desirable, as the environment and…
Added 37 mins ago
W
Specialist Mechanical Engineer - Static Equipment
Worley
AB · Edmonton, AB
- Full-time
Lead and approve engineering deliverables for static equipment, including specifications, data sheets, material requisitions, technical bid evaluations, and purchase recommendations.
Added 37 mins ago
MG
Financial Controller
M Group of Companies
Barrie, ON
- Full-time
Oversee financial systems governance, including Yardi accounting, reporting, integrations, data accuracy and access controls.
Added 37 mins ago
G
Manager, Global Benefits
Geotab
Toronto, ON
- Full-time
…large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine…
Added 37 mins ago
T
Sr FinOps Architect
TechDoQuest
Toronto, ON
- Contract
As a Sr. FinOps Architect within the NGS Cloud Advisory and Consulting Unit, you will lead the FinOps practice and serve as a subject matter expert (SME) for clients on cloud cost…
Added 37 mins ago
G
Manager, Global Benefits
Geotab
Waterloo, ON
- Full-time
…large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine…
Added 37 mins ago
G
Manager, Global Benefits
Geotab
Oakville, ON
- Full-time
…large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine…
Added 37 mins ago
W
Specialist Mechanical Engineer - Static Equipment
Worley
Calgary, AB
- Full-time
Lead and approve engineering deliverables for static equipment, including specifications, data sheets, material requisitions, technical bid evaluations, and purchase recommendations.
Added 37 mins ago
Senior Technology Specialist, Integration
Equitable
Waterloo, ON
…that are used by developers to unlock the potential of their data and services. This role will also support the Azure Datawarehouse and associated underlying…
Added 37 mins ago
Analyst, Databases
Reliance Home Comfort
Toronto, ON
Supports and contributes to evolving the Enterprise Data Strategy and Architecture
Added 51 mins ago
M
Project Manager, Payment Processing and Infrastructure Transition
Mindtris
Victoria, BC
- Full-time
The client is seeking an experienced Project Manager to lead a large scale payment processing infrastructure transition project. The initiative involves coordinating technology…

Scotiabank

Senior AI Platform Engineer

Toronto, ON, M5H 1H1, Canada

Apply About employer

Applications open in a new tab.

Job details

Experience: 5+ years of professional software engineering experience, including significant experience designing and delivering production platforms, APIs, or distributed systems.
Posting language: English
Posted: Nov 4, 2026

Original job description

Requisition ID: 278457

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Role

The Senior AI Platform Software Engineer will lead the design, development, and operation of scalable software platforms that enable enterprise teams to build, deploy, monitor, and govern artificial intelligence and machine learning solutions in production. Operating at the intersection of software engineering, cloud infrastructure, MLOps, generative AI, and platform engineering, this role provides technical leadership for reusable, secure, and reliable platform capabilities. The successful candidate will shape architecture, establish engineering standards, mentor engineers, and partner across product, data, security, risk, and architecture teams to accelerate responsible AI adoption at enterprise scale.

Is this role right for you? In this role you will:

Lead the architecture, design, development, and evolution of reusable platform services for AI and machine learning workloads, including training, evaluation, deployment, inference, monitoring, and lifecycle management.
Own the technical design of scalable APIs, orchestration layers, SDKs, developer portals, and self-service tooling that improve developer productivity and enable consistent enterprise adoption.
Define and implement production-grade MLOps and LLMOps patterns, including CI/CD, model and prompt versioning, automated evaluation, observability, drift detection, release controls, and rollback mechanisms.
Translate complex and ambiguous AI use cases into secure, extensible platform capabilities in partnership with data scientists, machine learning engineers, application teams, security, risk, and architecture stakeholders.
Design and operate resilient cloud-native and containerized services using Kubernetes, Docker, managed cloud services, and infrastructure-as-code practices.
Provide architectural leadership for generative AI capabilities, including model serving, retrieval-augmented generation, vector search, agentic workflows, feature pipelines, evaluation, guardrails, and enterprise integration patterns.
Embed reliability, scalability, security, privacy, governance, auditability, and cost optimization into platform architecture and engineering practices.
Establish and champion engineering standards for code quality, testing, observability, documentation, API design, operational readiness, and production support.
Lead technical reviews, evaluate emerging AI platform technologies, and influence build-versus-buy and adoption decisions aligned with enterprise strategy and architecture standards.
Mentor engineers, provide hands-on technical guidance, drive design consistency, and raise engineering maturity across platform teams.
Lead incident response, root-cause analysis, performance optimization, and continuous improvement for business-critical platform services.

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related technical discipline, or equivalent practical experience.

5+ years of professional software engineering experience, including significant experience designing and delivering production platforms, APIs, or distributed systems.

Advanced programming skills in Python, Java, Scala, Go, or a similar language, with a strong record of producing clean, testable, maintainable, and secure code.

Demonstrated experience leading system design for scalable, highly available services, including API design, asynchronous processing, distributed systems, data stores, caching, and performance optimization.

Deep hands-on experience with Azure, AWS, or Google Cloud across compute, storage, networking, identity, security, and managed AI or data services.

Strong experience with Docker, Kubernetes, infrastructure as code, CI/CD, release automation, and production operations.

Hands-on experience implementing MLOps or LLMOps capabilities such as model deployment, experiment tracking, registries, automated evaluation, observability, monitoring, and lifecycle controls.

Strong working knowledge of machine learning systems, data and feature pipelines, model serving, generative AI application patterns, and the operational risks associated with production AI.

Experience building modern front-end applications using React, Angular, or Vue, including component-based architecture, state management, accessibility, and responsive user interfaces.

Ability to design intuitive and performant experiences for developer portals, operational dashboards, workflow tools, and self-service platform interfaces.

Proven ability to apply secure software development practices, identity and access controls, secrets management, threat mitigation, and production operational controls.

Strong technical leadership, problem-solving, communication, collaboration, and ownership skills, with experience influencing cross-functional teams and mentoring engineers.

Nice‑to‑Have Qualifications:

Experience architecting internal developer platforms, AI platforms, ML platforms, or shared engineering services adopted by multiple teams at enterprise scale.

Hands-on experience with technologies such as MLflow, Kubeflow, Airflow, Argo Workflows, Databricks, Ray, Spark, feature stores, vector databases, model gateways, or model registries.

Experience designing LLM and agentic AI platforms, including retrieval-augmented generation, prompt orchestration, tool integration, evaluation frameworks, guardrails, identity, and observability.

Expertise with infrastructure-as-code and GitOps tools such as Terraform, Bicep, ARM templates, CloudFormation, Pulumi, Helm, or Argo CD.

Experience defining platform reference architectures, technical roadmaps, software development standards, and reusable patterns across engineering teams.

Experience operating services in regulated environments with governance, auditability, data privacy, responsible AI, and model risk management requirements.

Relevant certifications such as Azure AI Engineer Associate, AWS Certified Machine Learning Engineer, Google Professional Machine Learning Engineer, or Certified Kubernetes Administrator.

What's in it for you?

Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.

Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.

Upskilling through online courses, cross-functional development opportunities, and tuition assistance.

Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.

Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.

Community Engagement - No matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs.

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

Apply About employer

More about this job

Responsibilities

The Senior AI Platform Software Engineer will lead the design, development, and operation of scalable software platforms to enable enterprise AI and machine learning solutions. This role involves defining MLOps and LLMOps patterns, mentoring engineers, and partnering with cross-functional teams to ensure reliable and secure AI adoption.

Requirements

Candidates must have a bachelor's degree in a technical discipline and at least 5 years of professional software engineering experience. Proficiency in programming languages like Python, Java, or Go, along with deep experience in cloud platforms, Kubernetes, and AI/ML operational workflows, is required.

Skills

Python
Java
Scala
Go
Kubernetes
Docker
MLOps
LLMOps
Cloud infrastructure
System design
API design
Generative AI
CI/CD
Infrastructure as code
Distributed systems
Technical leadership

Benefits

Diversity, Equity, Inclusion & Allyship programs
Employee Resource Groups
Upskilling through online courses
Cross-functional development opportunities
Tuition assistance
Competitive rewards program
Bonus
Flexible vacation
Personal days
Sick days
Benefits starting on day one

Visa sponsorship

Not detected in the job text

Keywords

AI Platform
Machine Learning
MLOps
LLMOps
Generative AI
Kubernetes
Docker
Python
Java
Scala
Go
Cloud-native
Azure
AWS
Google Cloud
CI/CD
Infrastructure as Code
API Design
Distributed Systems
Retrieval-Augmented Generation
Vector Search
MLflow
Kubeflow
Terraform
GitOps
Software Engineering
Platform Engineering
Data Pipelines
Model Serving
Enterprise Architecture

Report this job