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Added 2 months ago
RS
Application Support Engineer I
Ryder System, Inc.
Toronto, ON
- Full-time
The Application Support Engineer I combines hands-on application support with
Added 2 months ago
J
Senior Reliability Engineer - Embedded Products
Jobgether
Canada
- $162,900 to $244,300 CAD / year
- Full-time
…all applications and next steps. Our partner is looking for a Senior Reliability Engineer - Embedded Products based in…
Added 2 months ago
LM
Winter 2027 Co-op - Systems Engineer - Technical Change Team
Lockheed Martin
Dartmouth, NS
- Full-time
Working with senior systems engineers to progress change towards final implementation
Added 2 months 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 2 months ago
M
Senior AI Engineer
Mastercard
Vancouver, BC
- Full-time
…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…
Added 1 month ago
PG
Senior RPA Engineer
Peoples Group
Vancouver, BC · Toronto, ON · AB
- Full-time
You are a senior software engineer who happens to specialize in automation, not a developer who just builds bots. You thrive in environments that require both technical mastery and…
Added 6 months ago
C
Senior Software Engineer
Catallyse
Remote, Canada
- $110,000 to $160,000 USD / year
- Full-time
- Remote
TypeScript, React, Python (or equivalent); 50/50 front/back
Added 6 months ago
H
Senior Software Engineer, Data
Hive
Remote, Canada
- $123,600 to $187,900 CAD / year
- Full-time
- Remote
As a Senior Data Engineer, you’ll play a vital role in evolving our data platform, which directly determines what our customers can do, how fast our product moves, and how confidently…
Added 6 months ago
S
Software Engineer - Solutions
Suger
Vancouver, British Columbia
- $90,000 to $130,000 CAD / year
- Full-time
We’re hiring a Senior Software Engineer - Solutions to work directly at the intersection of product engineering and customer integrations.
Added 6 months ago
S
Software Engineer - Solutions (Marketplace & AI Integrations)
Suger
Vancouver, British Columbia
- $90,000 to $130,000 CAD / year
- Full-time
We’re hiring a Senior Software Engineer - Solutions to work directly at the intersection of product engineering and customer integrations.
Added 6 months ago
L
Senior DevOps Engineer
Localcoin
Toronto, Ontario · Ontario
- Full-time
We are seeking a Senior DevOps Engineer with deep AWS expertise, multi-account architecture experience, and strong leadership capability. This role owns our cloud infrastructure strategy,…
Added 6 months ago
F
Director of Engineering- ICM
Forma.ai
Toronto, Ontario
- Full-time
…leading from the front. You don’t need to be the strongest engineer on the team, but you should be comfortable rolling up your sleeves regularly and setting a strong technical…
Added 6 months ago
B
Principal Software Engineer - AI
Boomi
Vancouver, British Columbia
- Full-time
As a Principal Software Engineer, you will be a technical leader driving the design and implementation of complex backend systems at scale. You will set technical direction, guide team…
Added 6 months ago
K
Senior Software Engineer, AI
Klue
Toronto, Ontario
- $145,000 to $183,000 CAD / year
- Full-time
We're looking for a Senior Software Engineer to join our team in Toronto, focusing on building and optimizing state-of-the-art LLM-powered agents that can reason, plan and automate…
Added 6 months ago
K
Senior Software Engineer, AI (Agents)
Klue
Vancouver, British Columbia
- $145,000 to $183,000 CAD / year
- Full-time
We're looking for a Senior Software Engineer to join our team in Vancouver, someone excited to build and optimize state-of-the-art LLM-powered agents at scale. You'll bring a builder's…
Added 6 months ago
JC
Machine Learning Engineer - IV (Biometrics)
Jumio Corporation
Montreal, Quebec
- Full-time
We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production.…
Added 6 months ago
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Senior Specialist - Data Sciences
LTM
Ontario · Ontario, Canada
- $81,325 to $125,000 CAD / year
- Full-time
As a Data Engineer you will responsible for budding optimizing and maintaining data pipelines using distributed
Added 6 months ago
F
Senior Solutions Engineer
Forma.ai
Toronto, Ontario
- $110,000 to $150,000 CAD / year
- Full-time
As a Senior Solutions Engineer, you will play a critical role at the intersection of data, technology, and customer impact. You will lead the design and delivery of scalable, reliable, and…
Added 2 months ago
C
Senior Test Automation Engineer – AI Testing
Cognizant
Montreal, QC
- Full-time
…performance. Les outils d'automatisation des tests utilisés sont Python, Robot Framework,…
Added 2 months ago
M
Senior Full Stack Software Developer
Miovision
Remote, Canada
- $130,000 to $160,000 CAD / year
- Full-time
- Remote
At Miovision, we are engineering the future of smart transportation, and we need an exceptional Senior Software Engineer who is ready to take the fast lane and push the boundaries of what…
Added 2 months ago
V
Staff Engineer
Vantage
Remote, Canada
- $180,000 to $220,000 CAD / year
- Full-time
- Remote
As a Staff Engineer, you drive the technical roadmap multiple teams build against, and you're accountable for it landing. You influence peers and senior leadership to get behind it. You…
Added 6 months ago
L
Senior Data Engineer - Gen AI
LTM
Ontario · Ontario, Canada
- $100,000 to $110,000 CAD / year
- Full-time
o Strong programming proficiency in Python is a must including extensive experience with libraries such as Pandas NumPy scikitlearn PyTorch TensorFlow Transformers FastAPI Seaborn LangChain…
Added 6 months ago
AS
Senior Software Engineer, Computation
Aurora Solar
Remote, Canada
- $126,000 to $187,000 CAD / year
- Full-time
- Remote
As a Senior Software Engineer on the System Design Pod, you'll help build the next generation of PV and storage design tools at Aurora. You'll lead technical features from discovery through…
Added 6 months ago
S
Technical Engineer, Healthcare IT & PACS/Spécialiste technique, TI en santé et PACS
Sectra
Montreal, Quebec
- Full-time
…service-minded individuals with a passion for healthcare. As a Technical Engineer your role will focus on designing, deploying, and supporting critical systems that drive improved clinical…
Added 6 months ago
S
Technical Engineer, Healthcare IT & PACS/Spécialiste technique, TI en santé et PACS
Sectra
Mississauga, Ontario
- Full-time
…service-minded individuals with a passion for healthcare. As a Technical Engineer your role will focus on designing, deploying, and supporting critical systems that drive improved clinical…

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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