Jobs in Canada

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Added 29 days ago
MP
Systems Integration Lead (Revenue Mgmt Systems) (2) - Temporary Assignment Up to 18 Months
Municipal Property Assessment Corporation
Pickering, ON
- Temporary
You bring senior technical expertise, project coordination and team leadership to the design, development and integration of IT solutions. Your experience building billing, payment or tax…
Added 29 days ago
GR
Scada Engineer
Grand River Conservation Authority
Cambridge, ON
- $84,866 to $103,253 CAD / year
- Full-time
Must have good attention to detail and demonstrate analytical, problem solving and technical skills
Added 29 days ago
JG
Senior Java Full Stack Developer
J&M Group
Toronto, ON
- Contract
We are hiring for a Senior Java Full Stack Developer. This role focuses on building scalable enterprise applications using Java, Spring Boot, modern front-end frameworks, and cloud…
Added 29 days ago
C
Senior Java Full Stack Developer (Hybrid)
Cognizant
Toronto, ON
- Full-time
Based on this role's business requirements, this is a hybrid position requiring 2 days per week in a client office in Toronto, Ontario
Added 29 days ago
C
Senior Java Backend Developer (Hybrid)
Cognizant
Toronto, ON
- Full-time
As a Senior Java Backend Developer, you will make an impact by designing, developing, and supporting scalable cloud-native applications and microservices that power critical customer-facing…
Added 29 days ago
C
Senior Mobile Solutions Lead
Cognizant
Toronto, ON
- $60,000 to $95,000 CAD / year
- Full-time
We are seeking an experienced 6-10 years of experience Senior Mobile Solutions Lead to drive the design and development of mobile and backend solutions supporting the Life & Annuities…
Added 29 days ago
CR
Front-Office Trading Development Engineer - Java, Kafka, C#, ETL, Talend AVP - Charles River Development
Charles River Development
Toronto, ON
- Full-time
As a Trading Engineer you will be an integral player of the Charles River implementation team. Senior Consultants brings technical expertise and direction to implementation teams, ensuring…
Added 29 days ago
Senior Core Java Engineer
Capgemini
Montreal, QC
We are seeking a Senior Core Java Engineer to design, develop, and support high-performance, scalable enterprise applications. The ideal candidate will have strong expertise in Core Java,…
Added 29 days ago
O
Senior Delivery Success Manager
Okta
Toronto, ON
- $103,000 to $140,000 CAD / year
- Full-time
The Senior Delivery Success Manager (DSM) is responsible for developing partner delivery capability within a defined product domain and regional partner portfolio. This role ensures service…
Added 29 days ago
T
Senior LEO SOC Systems Engineer
Telesat
Ottawa, ON
- Full-time
Experience with Linux operating systems, programing languages (e.g. Go, Python, Java, C, etc.) and frameworks
Added 29 days ago
SL
Senior Software Engineer, Operations
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
We are looking for a Senior Software Engineer who thrives in high-impact environments and brings 7+ years of Java application support, analysis, and development experience. In this role,…
Added 29 days ago
Senior Consultant - Modernization (Defense) | Consultant senior - Modernisation (Défense), Public Sector Professional Services | Services professionnels du secteur public
Amazon
Toronto, ON · Ottawa, ON · Montreal, QC · Vancouver, BC
Added 29 days ago
I
Senior Software Developer (Databases)
Intelerad
Canada
- Full-time
…a database that has to respond quickly and correctly. As a Senior Software Developer focused on the data layer of our InteleOrchestrator team, you’ll modernize the SQL Server-backed…
Added 29 days ago
NS
Senior QA Automation Engineer - Contact Center & IVR
N2P Systems
Toronto, ON
- $110,000 to $120,000 CAD / year
- Full-time
We are seeking a Senior Quality Engineering professional with strong expertise in Contact Center platforms, IVR/Routing automation, and UI/API test automation. The role will contribute to…
Added 29 days ago
P
Senior Backend Engineer
Punt
Vancouver, BC
- $120,000 to $150,000 CAD / year
- Full-time
We’re seeking a Senior Backend Engineer to help design, build, and scale our next-generation social gaming platform. You’ll work on highly concurrent systems, architecting APIs and backend…
Added 29 days ago
F
Staff Back End Engineer- TQM
Forma.ai
Toronto, ON
- Full-time
We are seeking Staff Software Engineers to join our TQM team. You’ll work alongside other staff, senior, and early-career engineers to design, build, and scale backend and frontend systems…
Added 29 days ago
C
Senior Java Architect - Vice President
Citi
Mississauga, ON
- Full-time
As a Senior Java Architect at Citi, you will lead a team of engineers building Large Language Model and Retrieval-Augmented Generation solutions that power next-generation applications…
Added 29 days ago
C
Issuer Services Technology Senior Developer - Vice President
Citi
Mississauga, ON
- Full-time
The Issuer Services Technology Senior Developer is a senior application development position responsible for accomplishing results and drive applications systems analysis and programming…
Added 29 days ago
C
Senior Engineering Manager
Citi
Mississauga, ON
- Full-time
We are seeking an exceptional Senior Engineering Manager to head the development and modernization of our Wholesale Lending Operations (WLO) Technology platforms and initiatives, based out…
Added 29 days ago
C
Full Stack Java Developer
Citi
Mississauga, ON
- Full-time
The Full Stack Developer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in…
Added 29 days ago
H
Full Stack Engineer
Hays
Toronto, ON
- Contract
Our client is seeking experienced Senior Full Stack Developers to join a high-performing Agile team delivering both on-premises and cloud-native applications within the financial services…
Added 29 days ago
H
Senior Application Developer
HCLTech
Toronto, ON · Greater Toronto Area, Canada
- $90,000 to $100,000 CAD / year
- Full-time
We are looking for a Senior Application Developer with strong experience supporting and enhancing mission‑critical banking applications in a high‑availability, regulatory‑driven…
Added 29 days ago
T
Senior Android Engineer
TekRek
Toronto, ON
- Contract
This is a senior hands-on engineering role, roughly 70% Android and 30% backend. You’ll build and support the apps that run on the company’s Android point-of-sale terminals. You’ll also…
Added 1 month ago
T
Director, Data Platform Engineering
TD
Toronto, ON
- Full-time
Act as the senior escalation point for critical engineering, platform, operational, and delivery issues.
Added 1 month ago
L
Senior Forward Deployment Engineer
Luxoft
Mississauga, ON
- Full-time
The role combines senior software engineering, DevOps, SRE, test automation, application security, and legacy modernization. Approximately 70% of the work involves hands-on coding and…

Closed listing

Scotiabank

Senior AI Platform Software Engineer

Toronto, ON, M5H 1H1, Canada

This opening has closed.

The original listing is kept below for reference.

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About employer

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: Oct 15, 2026

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Original job description

Archived listing. The details below describe a past opening.

Requisition ID: 276518

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.

About employer

More about this job

Responsibilities

The Senior AI Platform Software Engineer will lead the design, development, and operation of scalable platforms to enable enterprise AI and machine learning solutions. This role involves establishing engineering standards, mentoring team members, and partnering with cross-functional stakeholders to accelerate responsible AI adoption.

Requirements

Candidates must have a bachelor's degree in a technical field and at least 5 years of professional software engineering experience. Proficiency in programming languages like Python or Java, along with deep experience in cloud platforms, Kubernetes, and MLOps practices, is required.

Skills

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

Benefits

Upskilling opportunities
Tuition assistance
Competitive rewards program
Bonus
Flexible vacation
Personal days
Sick days
Health benefits
Employee resource groups

Visa sponsorship

Not detected in the job text

Keywords

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

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Jobs in Canada