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Added 6 months ago
TA
Senior Machine Learning Engineer (GCP)
Tiger Analytics
Canada
- Full-time
…learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and…
Added 6 months ago
F
Computer Vision & Behavioral Signal Analysis Intern (Healthcare Focus)
FairwAI
Remote, Canada
- Remote
Experienced in Python-based ML and vision workflows
Added 6 months ago
F
NLP Research Fellow
FairwAI
Remote, Canada
- Remote
We’re seeking a brilliant, mission-aligned NLP intern to join the team - our hospital equity analytics unit. You'll help us extract meaningful signals from real-world review data, such as:
Added 3 months ago
T
Technical Product Owner - AI & Machine Learning Solutions
TD
Remote, Canada
- Full-time
- Remote
Establish and uphold AI/ML engineering standards, best practices, and quality controls, while providing informed challenge on model design, MLOps, data architecture, and…
Added 3 months ago
DD
Software Engineer Fullstack
Dominion Dynamics
Ottawa, ON
- Full-time
You will drive development across platform layers - from backend ingestion and data processing to frontend visualization and embedded integrations - working closely with hardware and…
Added 2 months ago
GM
Staff Software Developer - Diagnostics Infrastructure
General Motors
Remote, Canada
- Full-time
- Remote
As a Staff Software Developer, you will play a critical role in defining the next generation of Diagnostic Infrastructure. Your work will be conducted in a collaborative engineering…
Added 2 months ago
Software Developer Intern
DRW
Montreal, QC
As a Software Developer Intern, you will join one of our development teams supporting our network development initiatives or trading businesses. Depending on the team you join, you will…
Added 3 months ago
M
Summer 2027 Intern - Healthcare & Life Sciences Division Toronto [UG/Masters]
master-TMS
Toronto, Ontario
- $40 CAD / hour
Use data-driven insights to help clients identify new revenue opportunities and competitive advantages.
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 5 months ago
P
QA Automation Engineer (Salesforce Financial Services Cloud)
PLATO
Remote, Canada
- $85,000 to $110,000 CAD / year
- Full-time
- Remote
Hands‑on expertise with Python and Robot Framework
Added 4 months ago
AI Specialist
R W Tomlinson
Ottawa, Ontario
Apply techniques such as prompt engineering, retrieval-augmented generation (RAG), and tool/function calling to ground AI solutions in company data and connect them to business systems
Added 4 months ago
WM
Business Scientist, Energy Intelligence
Wyse Meter Solutions Inc
Vaughan, Ontario
- $75,000 to $120,000 CAD / year
- Full-time
The Business Scientist, Energy Intelligence helps accelerate Wyse’s energy intelligence strategy - harvesting data into actionable insight and workflows that create value on both sides of…
Added 1 month ago
RS
Application Support Engineer I
Ryder System, Inc.
Toronto, ON
- Full-time
engineering-focused troubleshooting across enterprise platforms. Engineers will resolve production issues, support business operations, and gain exposure to system behavior, data flows, and…
Added 1 month ago
TC
Automation QE
Tata Consultancy Services
Halifax, NS
- $90,000 to $110,000 CAD / year
- Full-time
Maintain test data, test environments, and test execution reports
Added 1 month ago
J
Senior Reliability Engineer - Embedded Products
Jobgether
Canada
- $162,900 to $244,300 CAD / year
- Full-time
…field performance. The position combines systems thinking, data-driven analysis, and hands-on reliability engineering across protection relays, control devices, digital substations, and…
Added 1 month ago
EC
Senior SDET (IC4) - Senior Software Engineer in Test
Emburse Chrome River
Toronto, ON
- Full-time
Emburse is seeking a skilled and detail-oriented Senior Software Development Engineer in Test (SDET) to join our engineering team. In this role, you will bridge the gap between software…
Added 1 month ago
EC
SDET III (IC3) - Software Engineer in Test III
Emburse Chrome River
Toronto, ON
- Full-time
Emburse is seeking a skilled and detail-oriented Software Development Engineer in Test (SDET) to join our engineering team. In this role, you will bridge the gap between software…
Added 1 month ago
C
Wavelogic Modem HW Engineering Intern/Co-op (Winter 2027 - 4 month)
Ciena
Ottawa, ON
- $25.5 to $35 CAD / hour
- Full-time
Analyze large-scale manufacturing yield data to identify engineering insights that can improve factory yield.
Added 1 month ago
OS
Senior Associate, Analytics Solutions - Technology Services Group
Optimus SBR
Toronto, ON
- Full-time
Participating in working sessions with business stakeholders to understand measurement needs, data availability, and current gaps.
Added 1 month ago
Actuarial Analyst (Pricing)
Munich Re
Toronto, ON
Advanced programming knowledge and data processing abilities (using tools such as MS Office, Power BI and languages such as VBA, python, SQL). • Strong analytical and Problem-solving skills…
Added 1 month ago
Machine Learning Developer / Developpeur d'apprentissage automatique
SAP
Montreal, QC
Develop and maintain backend services, APIs, and data pipelines in Go, Java, or Python.
Added 1 month ago
Data Engineer - AWS, Snowflake, DBT
Aviva
Markham, ON
We are looking for a collaborative and resourceful Data Engineer for our IT Data Platform Engineering Delivery team at Aviva Canada. You are dedicated, naturally inquisitive and are…
Added 1 month ago
M
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 1 month ago
PG
Senior RPA Engineer
Peoples Group
Vancouver, BC · Toronto, ON · AB
- Full-time
…(CoE) serving the entire bank, reporting directly to the VP of Data Engineering. Our core mandate is to drive enterprise-wide efficiency, mitigate regulatory risk, and unlock critical data…
Added 1 month ago
A
Data Scientist / Analytics Engineer (12-month maternity leave contract)
audiobooks.com
Burlington, ON
- Contract
This role combines data engineering, analytics, business intelligence, and data science. The successful candidate will maintain and develop data pipelines, transform large and complex…

Mastercard

Senior AI Engineer

Vancouver, BC, Canada

Full-time

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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

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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

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

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