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Added 9 days ago
EF
Forward Deployed Engineer (FDE) Intern (8-12 month intern)
Element Fleet Management
Toronto, ON
- $54,400 to $74,800 CAD / year
- Full-time
The AI Platform Engineering team brings artificial intelligence solutions directly to the business teams it serves. As a Forward Deployed Engineer (FDE) Intern, you will join discovery…
Added 9 days ago
AM
IP-Post Silicon Validation Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
The AMD NBIO Team is on the lookout for a seasoned IP Validation Design Engineer to join our growing team. As a key contributor to the success of AMD’s IP, you will be part of a leading…
Added 9 days ago
A
IP-Post Silicon Validation Engineer
AMD
Markham, ON
- $155,200 to $232,800 CAD / year
- Full-time
The AMD NBIO Team is on the lookout for a seasoned IP Validation Design Engineer to join our growing team. As a key contributor to the success of AMD’s IP, you will be part of a leading…
Added 9 days ago
A
Senior Software Engineer, Analytics and Reporting Solutions ⭐
Achievers
Toronto, ON
- Full-time
Our Data Intelligence team builds backend services that turn data from our SaaS platform into high-value, actionable insights for our customers. We’re transforming the way data is used at…
Added 9 days ago
A
Senior DevOps Engineer (Azure)
Agilno
Toronto, ON
- Full-time
We are looking for a seasoned, independent DevOps Engineer to lead the infrastructure migration of our core platform from AWS to Microsoft Azure. This is a fast-paced, up to 6-month…
Added 9 days ago
RI
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
Must have : SQL+ Datawarehouse+ Banking domain
Added 10 days ago
AI
AWS Big Data Platform Engineer (Netezza to AWS Migration)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
The Senior Platform Engineer develops, maintains, and manages Automation platform on premise, AWS cloud and vendor SaaS to enable automation across the bank and core operations enabling the…
Added 10 days ago
AI
RPA Platform Engineer with infrastructure exp
Apptoza Inc.
Toronto, ON
- Contract
The Senior Platform Engineer develops, maintains, and manages Automation platform on premise, AWS cloud and vendor SaaS to enable automation across the bank and core operations enabling the…
Added 10 days ago
HB
Senior Software Development Engineer in Test
H&R Block Canada
Calgary, AB
- Full-time
Successful candidates must have legal authorization to work in Canada on a full-time basis for any employer
Added 10 days ago
MC
Release Engineer
Meridian Credit Union
St. Catharines, ON · Toronto, ON · Etobicoke, ON
- Full-time
The Release Engineer is the senior practitioner and standards-setter for Meridian’s Release Engineering function. The role owns build and code management in practice - branching strategy,…
Added 10 days ago
MC
Cloud Platform Engineer – Kubernetes (36051)
Myticas Consulting
Toronto, ON
- Contract
Required Qualifications – Must Have · Location Requirement: Candidates must be based in the Greater Toronto Area (GTA)
Added 10 days ago
Senior Quality Engineer (ETL testing)
Scotiabank
Toronto, ON
We are looking for a Senior Quality Engineer to join our Quality Engineering team. This person will be responsible for ETL testing, data validation, source-to-target reconciliation, data…
Added 10 days ago
C
Staff Security Engineer - Calix Cloud
Calix
Canada
- Full-time
We’re looking for a Staff Security Engineer to define and strengthen the trust architecture connecting our devices, customers, and cloud platform. In this highly influential, hands-on role,…
Added 10 days ago
C
Senior Identity Security Engineer
CPKC
Calgary, AB
- Full-time
Administer, maintain, upgrade, and optimize the CyberArk PAM platform, including Vault, CPM, PSM, PWA, PTA, account onboarding, credential management, password rotation, privileged session…
Added 10 days ago
IT Support Engineer III
SHEIN
Canada
…production services, as well as SHEIN's established global sales platform, so they can focus on making their creativity available to the world. SHEIN continues to promote our…
Added 10 days ago
J
Senior Forward Deployed Engineer
Justworks
Toronto, ON
- $167,500 to $235,000 CAD / year
Justworks helps U.S. small businesses run payroll, benefits, HR, and compliance in one platform. Justworks International extends that globally, giving 12,000+ U.S. SMBs a single partner to…
Added 10 days ago
TB
Senior DevOps Engineer (SRE / Platform Engineering)
TLNT Bridge Recruiting
Vancouver, BC
- $113,900 to $147,000 CAD / year
- Full-time
They are continuing to invest in their infrastructure and platform capabilities and are looking for a talented Senior DevOps Engineer with a strong Site Reliability Engineering (SRE)…
Added 10 days ago
V
Sr. Software Engineer - DevEx
VGS
Canada
- $150,000 to $200,000 USD / year
- Full-time
…treat compliance (PCI, SOC2, ISO27001), security patching, and platform maintenance as administrative overhead - we engineer them with first-class product discipline. In payments…
Added 10 days ago
CT
Senior ML/AI Engineer, Advanced Analytics & Modelling - Customer Intelligence Platforms
Canadian Tire Corporation
Toronto, ON
- Full-time
Location: Toronto, Ontario (Hybrid: In-office 4 days per week)
Added 10 days ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Welcome to the Jungle
Montreal, QC
Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from…
Added 10 days ago
Senior AI Platform Engineer
Scotiabank
Toronto, ON
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…
Added 10 days ago
P
Senior L3 AI Engineer
PeoplePilot
Montreal, QC
- $120,000 to $140,000 CAD / year
- Full-time
# Senior L3 AI Engineer – Enterprise AI Platforms
Added 10 days ago
N
Senior DevOps Engineer
Nelnet
Mississauga, ON · CAN - MISSISSAUGA
- Full-time
We are looking for a DevSecOps Engineer that is responsible for provisioning, configuring, and monitoring the infrastructure resources for systems hosted in our Azure cloud environment. We…
Added 10 days ago
L
Senior Software Engineer
LTM
ON · Ontario, Canada
- $100,000 to $110,000 CAD / year
- Full-time
We are seeking a highly skilled Full Stack Developer with strong expertise in Python and Angular to build and support modern cloudnative applications The ideal candidate should be…
Added 10 days ago
QA
Data Engineer II - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, ON
- Full-time
Strong proficiency in Python and SQL for data engineering and experience writing robust, production-grade code, including deploying code across environments

Scotiabank

Senior AI Platform 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: 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 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 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

Seniority

Senior

Perks

Generous paid time off
Flexible hours
Tuition support
Performance bonus

Tools

Kubernetes
Docker
Terraform
Azure
AWS
Google Cloud

Languages

English

Fields of study

Computer Science
Software Engineering
Data Engineering
Machine Learning

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Work requirements

Jobs in Canada