Jobs in Canada

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Added 28 days ago
MP
Systems Integration Lead (Revenue Mgmt Systems) (2) - Temporary Assignment Up to 18 Months
Municipal Property Assessment Corporation
Pickering, ON
- Temporary
Applied experience with AWS and related technologies such as Python, Java, Groovy, Angular or React, JavaScript/TypeScript, HTML and CSS;
Added 28 days ago
Conversational AI Developer
Bell
Toronto, ON
For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week
Added 28 days ago
O
Senior Network Engineer
OnX
Toronto, ON
- Full-time
OnX Canada is working with a major health insurance company seeking a Senior Network Engineer to join their growing team.
Added 28 days ago
H
Intermediate Software Engineer
Hays
Toronto, ON
- Contract
Required Skills : Must Have
Added 28 days ago
Senior Security Engineer - Cloud Security
PagerDuty
Toronto, ON
PagerDuty is seeking a Senior Security Engineer to join our Cloud Security team, part of Security Engineering within the CTO organization. This is a preventive, platform-focused role for a…
Added 28 days ago
QW
Senior AI Developer
Quantum World Technologies Inc.
Mississauga, ON
- Full-time
Minimum of 8 years of software development experience, with strong hands-on experience in Python and relevant experience in AI/ML or Generative AI.
Added 28 days ago
AB
Full Stack AI Practice Lead
Ateko, backed by Bell Canada
Toronto, ON · Greater Toronto Area, Canada
- Full-time
You’ll collaborate with AI, data, cloud and software experts under the leadership of the Senior Vice President, Data & Cloud. No ego, just smart people solving complex problems together in…
Added 28 days ago
NB
Senior Developer AI Engineering
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior AI Engineering Developer on the AI Factory team at National Bank means playing a key role in the end-to-end development of artificial intelligence applications.…
Added 28 days ago
C
Senior Business Systems Analyst (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 28 days ago
A
Senior Data Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Our technology stack includes: Python, SQL, Apache Spark, PySpark, Spark SQL, Apache Airflow, Hive, Presto/Trino, Snowflake, AWS (S3, EMR, Glue), Git, Jenkins, Power BI, Looker, and…
Added 28 days ago
ES
Senior Software Architect
Euna Solutions
ON · Oakville, Ontario
- Full-time
Hands-on expertise with cloud platforms such as AWS or Azure.
Added 28 days ago
Senior AI Platform Software Engineer
Scotiabank
Toronto, ON
Advanced programming skills in Python, Java, Scala, Go, or a similar language, with a strong record of producing clean, testable, maintainable, and secure code.
Added 28 days ago
RA
Senior Software Engineer – Python & AWS (100% Remote)
Recrute Action
ON · North York, Toronto, Kitchener, Ontario
- Contract
Senior Software Engineer – Python & AWS (Remote)
Added 28 days ago
L
Cybersecurity Engineer - Detection Engineer
lululemon
Vancouver, BC
- Full-time
Experience with query languages such as KQL, SPL and scripting languages (Bash, PowerShell, Python)
Added 28 days ago
IF
Senior Data Scientist
Intact FC
Toronto, ON
- Full-time
Multi-platform production experience with the following: Python, GitHub, AWS, and CI/CD tools.
Added 28 days ago
AI
Senior AI Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
AI Product Delivery: Lead and actively contribute to the development of AI products, pilots, and enterprise solutions with a focus on writing clean, maintainable code.
Added 28 days ago
P
Senior Systems Test Engineer (Embedded & Mobile)
Planitar
Waterloo, ON
- Full-time
…technology, combining Planitar’s deep spatial data expertise with REA’s global scale and innovation…
Added 28 days ago
CI
Director, Public & Alternative Investments, Data Platforms
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
…data quality, observability and delivery practices. Experience with lakehouse technologies, Python, SQL, CI/CD, infrastructure as code, data cataloguing, financial ontologies, Amazon…
Added 28 days ago
Senior Network Designer
Rogers Communications
Brampton, ON
We are looking for a highly experienced Senior Network Designer ,Wireless Network and Cloud Engineering professional who is passionate about designing and evolving next-generation…
Added 28 days ago
O
Senior Software Developer (DevOps)
OpenText
Mississauga, ON
- Full-time
Req# 53333 - Senior Software Developer (DevOps) Cloud/SaaS
Added 28 days ago
O
Senior Software Developer (DevOps)
OpenText
Richmond Hill, ON
- Full-time
Req# 53333 - Senior Software Developer (DevOps) Cloud/SaaS
Added 28 days ago
O
Senior Software Developer (DevOps)
OpenText
Waterloo, ON
- Full-time
Req# 53333 - Senior Software Developer (DevOps) Cloud/SaaS
Added 28 days ago
F
Senior Software Developer
Fortinet
Burnaby, BC
- Full-time
Full-Stack & Microservices Mastery: Strong production experience with Python, Golang, and Angular (or equivalent modern frameworks).
Added 28 days ago
BH
Member of Technical Staff
Beacon Holdings
Toronto, ON
- Full-time
Senior engineering depth. Staff or principal-equivalent. You have built and operated systems that real businesses depend on. You write clean, idiomatic code in at least one of Python, Go,…
Added 28 days ago
S
Head of Security
Super.com
Remote, Canada
- Full-time
- Remote
As the Head of Security at Super.com, you'll be our most senior and accountable security leader. You'll define and drive our security roadmap, staff and manage our security function,…

Scotiabank

Senior AI Platform Software Engineer

Toronto, ON, M5H 1H1, Canada

Apply on jobs.scotiabank.com 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: Oct 15, 2026

Original job description

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.

Apply on jobs.scotiabank.com 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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Work requirements

Jobs in Canada