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Added 6 days ago
Senior Analyst, Payments Data Intelligence
Payments Canada
Toronto, ON · Ottawa, ON
The Senior Analyst operates with full technical autonomy over codebases, complex SQL transformations, Python feature engineering, GCP data pipelines, and MLOps back testing suites. This…
Added 6 days ago
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Platform Engineer
Dexian
Toronto, ON · Greater Toronto Area, Canada
- Contract
o Development/Engineering experience e.g. Powershell, Bash, Shell, Python
Added 6 days ago
ED
Sr. SQA Analyst - EN 707
Export Development Canada | Exportation et développement Canada
Montreal, QC
- $96,557 to $128,743 CAD / year
- Full-time
Define, execute, and sustain the integrated technology target state, target data model and technology operations required to enable EDC's 2030 business transformation
Added 6 days ago
ED
Sr. SQA Analyst - EN 707
Export Development Canada | Exportation et développement Canada
Vancouver, BC
- $96,557 to $128,743 CAD / year
- Full-time
Define, execute, and sustain the integrated technology target state, target data model and technology operations required to enable EDC's 2030 business transformation
Added 6 days ago
ZI
LiDAR Data Processing Technician
ZenaTech Inc.
Vancouver, BC
- Full-time
We are seeking a skilled LiDAR Data Processing Technician to join our geospatial team. This role is responsible for processing, analyzing, and managing LiDAR datasets to support surveying,…
Added 6 days ago
ED
Sr. SQA Analyst - EN 707
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $96,557 to $128,743 CAD / year
- Full-time
Define, execute, and sustain the integrated technology target state, target data model and technology operations required to enable EDC's 2030 business transformation
Added 6 days ago
AI Full Stack Engineer
Scotiabank
Toronto, ON
Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related technical discipline, or equivalent practical experience.
Added 6 days ago
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ITV Automation Specialist Intern (Winter 2027, 12months)
Hitachi
Toronto, ON · (RSBU) Toronto
- $23 to $30 CAD / hour
- Full-time
The ITV Automation Specialist Intern with foundational experience in Python & Perl to support test automation efforts across large-scale software delivery projects. This role is ideal for…
Added 6 days ago
Full Stack Developer - Applied AI
Bell
Montreal, QC
We are looking for a Full Stack Developer – Applied AI to join our innovative team. This position offers a balanced workload between backend development using .NET / C# and frontend…
Added 6 days ago
IT Manager
Jeld-Wen Inc.
Woodbridge, ON
We're looking for an experienced software developer to build and maintain the applications, integration and automation that keep our Woodbridge plant running. You'll connect plant systems…
Added 6 days ago
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Azure Enterprise Architect - Full Stack & AI Solutions (Canada)
Avanade
Toronto, ON
- Full-time
We are seeking a highly experienced Azure Enterprise Architect with a strong full stack engineering background and deep expertise in Microsoft Azure cloud architecture, enterprise…
Added 6 days ago
H
Senior Validation Engineer
Humanoid
Vancouver, BC
- Full-time
Proficient with tools such as Python (preferred), MATLAB, or C++ for data capture, analysis, and model fitting using OOP(Object Oriented Programming).
Added 6 days ago
Vehicle Systems Engineering Intern (Winter/January 2027, 4- 8 Months)
Internship List
Waterloo, ON
As a Vehicle Systems Engineering Intern your key area of responsibility will be to gain access to vehicles both in person and remotely across the world, to reverse engineer vehicular…
Added 6 days ago
A
Data Scientist, Ricochet Anti-Cheat (Call of Duty)
Activision
Vancouver, BC
- Other
Competence with Python, SQL, and PySpark for data analysis, data engineering, and production-scale workflows.
Added 6 days ago
Specialist Revenue Management Science and Innovation
Vacances Air Canada Vacations / Air Canada Rouge
Mississauga, ON · Montreal, QC
Large Scale Data Analysis and Modeling: Transforming raw knowledge and data into models, insights and decisions.
Added 6 days ago
Product Development Engineering Technologist
Trudell Medical Group
London, ON
Python, Matlab, Control systems (PID), embedded systems, data acquisition
Added 6 days ago
RI
Azure Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
We are seeking highly skilled Azure Data Engineer with strong expertise in SQL, Python, Datawarehouse, Cloud ETL tools to join our data team. The ideal candidate will design, implement and…
Added 6 days ago
L
Senior Python Developer with PySpark and AWS
Luxoft
Toronto, ON
- Contract
The project involves the data engineering organization’s Analytical Work Bench , which is an integrated development environment. The objective is to rationalize and integrate AWB with…
Added 6 days ago
AC
Specialist Revenue Management Science and Innovation
Air Canada Vacations
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Large Scale Data Analysis and Modeling: Transforming raw knowledge and data into models, insights and decisions.
Added 6 days ago
TC
Data & Analytics Solution Architect
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $120,000 to $150,000 CAD / year
- Full-time
years of experience in Enterprise Data Architecture, AWS Data Platforms, Snowflake, Data Engineering, and Cloud Modernization.
Added 6 days ago
LD
Systems Engineer
Leonardo DRS
Ottawa, ON · Kanata, ON
- Full-time
…defence electronics company specializing in military voice and data communications systems; electro-optics (EO) and infrared search and tracking systems (IRST); command, control,…
Added 6 days ago
RE
Python Developer
Randstad Enterprise
Montreal, QC
- Contract
We are seeking a skilled Python Developer to join our dynamic team. The ideal candidate will have a strong background in developing backend services using Python. You will be responsible…
Added 6 days ago
KS
Chef d'équipe en Automatisation AQ / QA Automation Lead
Keywords Studios
Remote, Canada
- Full-time
- Remote
Capacité à écrire, réviser et déboguer du code d’automatisation Python, incluant la conception orientée objet.
Added 6 days ago
M
RQ11716 - Systems Testing/QA Specialist - Intermediate
Maarut
Toronto, ON
- Contract
Software Engineering (CASE) tools and data query tools to aid in the
Added 6 days ago
T
Software Engineer, AI/ML Infrastructure
Thumbtack
Remote, Canada
- Full-time
- Remote
…infrastructure that enables these experiences. We empower product engineering teams by providing scalable, high-performance systems that drive AI innovation at scale. To read more about…

Scotiabank

AI Full Stack Engineer

Toronto, ON, M5H 1H1, Canada

Apply About employer

Applications open in a new tab.

Job details

Experience: 3+ years of professional software engineering experience building production systems, platforms, APIs, or distributed services.
Posting language: English
Posted: Oct 14, 2026

Original job description

Requisition ID: 276378

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

The Role:

The AI Full Stack Engineer will design, build, and operate scalable software platforms that enable teams to develop, deploy, monitor, and govern artificial intelligence and machine learning solutions in production. This role sits at the intersection of software engineering, cloud infrastructure, MLOps, and applied AI, with a focus on building reliable platform capabilities that accelerate safe and efficient AI adoption across the enterprise.

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

Design, develop, and maintain reusable platform services for AI and machine learning workloads, including model training, evaluation, deployment, inference, monitoring, and lifecycle management.

Build scalable APIs, orchestration layers, SDKs, and self-service tooling that improve developer productivity and reduce friction for AI product teams.

Implement production-grade MLOps and LLMOps capabilities, including CI/CD pipelines, model and prompt versioning, automated testing, observability, drift detection, and rollback mechanisms.

Partner with data scientists, machine learning engineers, application teams, security, risk, and architecture stakeholders to translate AI use cases into secure, reliable platform capabilities.

Develop and operate containerized workloads using Kubernetes, Docker, cloud-native services, and infrastructure-as-code practices.

Support retrieval-augmented generation, vector search, agentic workflows, model serving, feature pipelines, and enterprise integration patterns where applicable.

Embed reliability, resiliency, scalability, cost optimization, governance, and security controls into platform design and day-to-day engineering practices.

Define and enforce engineering standards for code quality, testing, observability, documentation, operational readiness, and production support.

Evaluate emerging AI platform tools, frameworks, and cloud services, and recommend adoption patterns aligned with enterprise architecture standards.

Participate in incident response, root-cause analysis, performance tuning, and continuous improvement of 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.

3+ years of professional software engineering experience building production systems, platforms, APIs, or distributed services.

Strong programming skills in Python, Java, Scala, or a similar language, with a focus on clean, testable, maintainable code.

Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud, including compute, storage, networking, identity, and managed AI or data services.

Experience with containerization and orchestration technologies such as Docker and Kubernetes.

Familiarity with MLOps, CI/CD, model deployment, experimentation tracking, observability, logging, monitoring, and automated testing practices.

Working knowledge of machine learning concepts, model serving patterns, data pipelines, feature engineering, or generative AI application patterns.

Experience building modern front-end applications using frameworks such as React, Angular, or Vue, with strong understanding of component-based design, state management, and responsive user interfaces.

Ability to develop intuitive, accessible, and performant user experiences for developer portals, dashboards, workflow tools, or self-service platform interfaces.

Experience applying secure software development practices, access controls, secrets management, and production operational controls.

Strong problem-solving, communication, collaboration, and ownership skills in a cross-functional engineering environment

Nice‑to‑Have Qualifications:

Experience building internal developer platforms, AI platforms, ML platforms, or shared engineering services at enterprise scale.

Experience with MLflow, Kubeflow, Airflow, Argo Workflows, Databricks, Ray, Spark, Feature Stores, vector databases, or model registries.

Experience with LLM application development, retrieval-augmented generation, prompt orchestration, evaluation frameworks, guardrails, or agentic AI workflows.

Familiarity with infrastructure-as-code tools such as Terraform, Bicep, ARM templates, CloudFormation, or Pulumi.

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

Certifications such as Azure AI Engineer Associate, AWS Machine Learning Specialty, 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.

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More about this job

Responsibilities

The AI Full Stack Engineer will design, build, and operate scalable software platforms to support AI and machine learning solutions in production. This role involves developing reusable platform services, APIs, and MLOps capabilities while collaborating with cross-functional teams to ensure secure and efficient AI adoption.

Requirements

Candidates must have a bachelor's degree in a technical discipline and at least 3 years of professional software engineering experience. Proficiency in Python, Java, or Scala, along with hands-on experience in cloud platforms, containerization, and MLOps practices, is required.

Skills

Python
Java
Scala
Kubernetes
Docker
Cloud platforms
MLOps
LLMOps
CI/CD
React
Angular
Vue
API development
Machine learning
Generative AI
Infrastructure-as-code

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
Community engagement programs

Visa sponsorship

Not detected in the job text

Keywords

AI Full Stack Engineer
MLOps
LLMOps
Kubernetes
Docker
Python
Java
Scala
Cloud Computing
AWS
Azure
Google Cloud
CI/CD
React
Angular
Vue
Machine Learning
Generative AI
Infrastructure-as-code
Terraform
MLflow
Kubeflow
Airflow
Databricks
Vector Databases
Retrieval-Augmented Generation
API Development
Software Engineering
Data Engineering
Enterprise Architecture

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