Jobs in Canada

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Added 2 months ago
A
3rd Party IP Technical Lead
AMD
Markham, ON
- $155,200 to $232,800 CAD / year
- Full-time
…integration into AMD SoCs; working closely with the Technical Project…
Added 2 months ago
Senior Manager, Expense Oversight and Transparency
Scotiabank
Toronto, ON
The Senior Manager, Expense Oversight and Transparency executes and continuously improves ongoing expense reporting, forecasting, and transparency activities for Global Wealth Management…
Added 4 months ago
Economist Intern
Government of Alberta
Edmonton, Alberta
Regional development: supporting the unique economic development needs of Alberta’s various regions.
Added 2 months ago
Senior Software Engineer, Data Pipelines
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 4 months ago
S
Senior Software Engineer in Test (SDET)
Solink
Remote, Canada
- $115,000 to $147,500 CAD / year
- Full-time
- Remote
We're looking for a Software Development Engineer in Test (SDET) to join our Device Management team.
Added 4 months ago
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Risk Modelling Services, Actuarial, P&C Senior Manager
PwC
Ottawa, Ontario · Toronto, Ontario · Montreal, Quebec · Quebec, Quebec
- Full-time
…clear career path, leaders who care about and support your development and goals. We focus on offering diverse learning and development opportunities to produce well-rounded…
Added 4 months ago
AG
Manager, Marketing Operations & AI
Adelphi Group
Remote, Canada
- Full-time
- Remote
We're looking for an Manager, Marketing Operations & AI to join our team as part of our Sales function. This role will play a critical role in optimizing our sales AI-powered technology…
Added 2 months ago
S
Fraud Product and Operations Lead
Scene+
Toronto, ON
- Full-time
This posting is for a full-time, hybrid role, working three days per week on-site at our Toronto office
Added 2 months ago
AM
3rd Party IP Technical Lead
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…integration into AMD SoCs; working closely with the Technical Project…
Added 6 months ago
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Senior Software Developer
Hive
Remote, Canada
- $123,600 to $187,900 CAD / year
- Full-time
- Remote
You must be based in Canada and have legal Canadian work authorization for this role
Added 7 months ago
KC
Senior Manager GRC
KPMG Canada
Toronto, Ontario
- Full-time
Our Technology Risk Consulting services team is growing and we are looking for Senior Manager to join our team in Toronto. The Technology Risk Consulting practice provides a variety of…
Added 6 months ago
HI
US Portfolio Manager
Hillsdale Investment Management Inc.
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
…excellence – a reflection of our relentless pursuit of research and development and the dedication of our employees who invest alongside our…
Added 2 months ago
Litigation Support - Case Manager, eDiscovery & Litigation Support
Burnet, Duckworth & Palmer
Calgary, AB
Case Manager, eDiscovery & Litigation Support
Added 2 months ago
Compliance Analyst
Government of Alberta
Edmonton, AB
Reporting to the Manager, Data Analytics & Monitoring, the Compliance Analyst is responsible for extracting and analyzing Primary and Preventative Health Services Fee-for-Service claims…
Added 4 months ago
T
Technical Product Owner - AI & Machine Learning Solutions
TD
Remote, Canada
- Full-time
- Remote
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 2 months ago
DI
Sr Analyst, Business Insights
Definity Insurance Company
Toronto, ON
- Full-time
Experience with data analysis, SQL, Google Analytics 4, Tag Manager, Looker, Tableau, Google Cloud (Bigquery), Excel, PowerPoint, Python/programming.
Added 2 months ago
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Senior AI Engineer
Mastercard
Vancouver, BC
- Full-time
This position sits on the Horizontal Enablement team, reporting to the Manager, AI Engineering who heads the Tooling and Agent Development remit. The remit builds the internal tooling and…
Added 6 months ago
L
Senior DevOps Engineer
Localcoin
Toronto, Ontario · Ontario
- Full-time
This position will be based out of our Etobicoke, ON office, with an expectation of working in-office two days per week
Added 6 months ago
H
Engineering Manager
Hive
Remote, Canada
- $150,000 to $210,000 CAD / year
- Full-time
- Remote
…a shared codebase - you can articulate what communication, development processes and tooling you do/don’t find effective and…
Added 6 months ago
UM
NIGHT SHIFT - Test Engineering Electronics Technician
Ultra Maritime
Dartmouth, Nova Scotia
- Full-time
Ultra Maritime is seeking highly motivated and skilled NIGHT SHIFT - Test Engineering Electronics Technician to join our team · This position is for a night shift schedule
Added 6 months ago
S
AI Engineer
Softrip
Remote, Canada
- $110,000 to $150,000 CAD / year
- Full-time
- Remote
…layer underneath them. You’ll be hired alongside an AI Product Manager as a deliberate two-person AI team. The working model is iterative and close: you’re not receiving specs and building…
Added 2 months ago
Artificial Intelligence & Data Architect (Developer)
BMO
Toronto, ON · FCP
…architectural possibilities and futures. Works with business and development teams to recommend processes or system design enhancements. Ensures that systems are functionally appropriate,…
Added 7 months ago
Z
Product Manager - Computer Vision & Data Products (Remote, Canada)
zestyAI
Remote, Canada
- Full-time
- Remote
Product Manager - Computer Vision & Data Products (Canada, Remote)
Added 7 months ago
Z
Product Manager - Computer Vision & Data Products (Remote, Canada)
zestyAI
Remote, Canada
- Full-time
- Remote
Product Manager - Computer Vision & Data Products (Canada, Remote)
Added 7 months ago
Z
Product Manager - Computer Vision & Data Products (Remote, Canada)
zestyAI
Remote, Canada
- Full-time
- Remote
Product Manager - Computer Vision & Data Products (Canada, Remote)

Mastercard

Senior AI Engineer

Vancouver, BC, Canada

Full-time

Apply on mastercard.wd1.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Sep 10, 2026

Original job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior AI EngineerOverview:
AI Solutions, part of Mastercard’s AI & Data organization, scales AI across the enterprise, moving use cases beyond pilots into trusted, production-grade capabilities embedded in Mastercard’s platforms and products. Centralizing this capability drives speed to scale, operational resilience, consistent delivery standards, and responsible AI by design, in close partnership with the AI Center of Excellence.
This position sits on the Horizontal Enablement team, reporting to the Manager, AI Engineering who heads the Tooling and Agent Development remit. The remit builds the internal tooling and agentic systems that make AI development faster and more repeatable across Mastercard and works alongside data science teams to move their research products into production. As a Senior AI Engineer, you will independently build and ship agent-based applications and developer tooling, and partner with data science counterparts and engineering partners to take proofs of concept from experiment to deployable solution.

About the Role:
• Independently execute key elements of projects within AI Engineering, resolving problems and roadblocks as they arise.
• Design and build agentic systems and internal tooling, including agent orchestration, tool and API integration, memory and context handling, prompt and workflow design, evaluation harnesses, and guardrails for safe and reliable behavior.
• Contribute to the design and development of scalable AI and machine learning systems that address complex business needs, adhering to engineering best practices.
• Work with data science counterparts to understand their research products and translate proofs of concept into deployable solutions, then liaise with engineering partners to carry those solutions through to production.
• Implement models into production, designing scalable training pipelines and deployment frameworks.
• Conduct hyperparameter tuning and validation to meet targeted performance metrics, ensuring robustness and efficiency.
• Monitor model and agent performance, manage versioning, and update solutions to sustain high-quality outputs.
• Ensure the operational stability and scalability of AI systems, adhering to ethical guidelines and contributing to the organization’s AI infrastructure.
• Contribute to solution development for new tools and services and lead smaller projects as an experienced individual contributor with specialized knowledge.

All About You:
• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field; equivalent practical experience considered.
• Hands-on experience building agentic systems in production or near-production settings, including agent frameworks, tool and API integration, multi-step workflows, evaluation, and guardrails.
• Practical experience with Generative AI and LLMs, including prompt design, RAG patterns, and model selection and evaluation trade-offs.
• Experience partnering with data scientists or researchers to productionize proofs of concept and working with engineering partners to deliver them.
• Proficiency in Python and SQL, with solid software engineering fundamentals in testing, version control, packaging, and code review.
• Experience building and consuming APIs and integrating with internal platforms and third-party services.
• Hands-on experience with CI/CD and build tooling such as Git, Jenkins, Maven, and Artifactory.
• Experience deploying models or applications to production and supporting them operationally, including monitoring, versioning, and troubleshooting.
• Working knowledge of machine learning and deep learning techniques and the model lifecycle, including hyperparameter tuning and validation.
• Experience with Databricks, Spark, or comparable distributed data processing environments.
• Experience working in cloud environments.
• Ability to work independently, communicate technical concepts clearly, and collaborate across data science and engineering teams.

Preferred Qualifications
• Experience with agent and orchestration frameworks such as LangGraph, LangChain, CrewAI, or the Model Context Protocol.
• Experience with agent evaluation and observability, including tracing, regression testing, and quality benchmarking.
• Familiarity with AI-assisted development tools such as GitHub Copilot or Claude Code.
• Experience with MLOps tools such as MLflow, Comet, or Weights and Biases.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Experience building internal developer tooling, SDKs, or self-service platforms adopted by other engineering teams.
• Familiarity with responsible AI practices, data governance, and sensitive data handling.Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program.

Pay Ranges

Vancouver, Canada: $111,000 - $160,000 CAD

Apply on mastercard.wd1.myworkdayjobs.com About employer

More about this job

Responsibilities

The Senior AI Engineer will design and build agentic systems and internal tooling to scale AI capabilities across Mastercard's platforms. They will partner with data science teams to transition research proofs of concept into robust, production-grade deployable solutions.

Requirements

Candidates must have a bachelor's degree in a technical field and hands-on experience building agentic systems and LLM-based applications in production. Proficiency in Python, SQL, and experience with CI/CD pipelines and cloud environments are essential for this role.

Skills

Python
SQL
Generative AI
LLMs
Agentic systems
Machine learning
CI/CD
Git
Jenkins
Maven
Artifactory
Databricks
Spark
Cloud computing
API integration
Software engineering

Benefits

Discretionary annual incentive program

Visa sponsorship

Not detected in the job text

Keywords

Senior AI Engineer
Mastercard
Agentic systems
Generative AI
LLMs
Python
SQL
CI/CD
Git
Jenkins
Maven
Artifactory
Databricks
Spark
Cloud environments
Machine learning
Deep learning
Hyperparameter tuning
API integration
LangGraph
LangChain
CrewAI
MLOps
MLflow
Docker
Kubernetes
Data governance
Responsible AI
Software engineering
Production deployment

Seniority

Senior

Perks

Performance bonus

Tools

Git
Jenkins
Maven
Artifactory
Databricks
Spark

Languages

English

Fields of study

Computer Science
Artificial Intelligence
Machine Learning
Data Science
Engineering

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Work requirements

Jobs in Canada