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Added 1 month ago
Senior Delivery Consultant - Connect and Lex, Amazon Connect Center of Delivery Excellence
Amazon
Toronto, ON
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
Added 1 month ago
JS
Senior Software Engineer, AI-Native Data Warehouse
Juniper Square
Remote, Canada
- Full-time
- Remote
As a Senior Software Engineer at Juniper Square, you're a hands-on individual contributor who designs, builds, and operates production systems powering core workflows for institutional…
Added 6 months ago
C
Staff Chip Design Engineer - FPGA
Cognichip
Toronto, Ontario
- $184,000 to $222,000 CAD / year
- Full-time
…silicon design and machine learning. As a Staff FPGA Design Engineer, you will fuse chip design expertise with cutting-edge ML to create the intelligent, end-to-end silicon design flows. If…
Added 6 months ago
V
Associate AI Software Engineer
VoiceValet
Vancouver, British Columbia
- $60,000 to $80,000 CAD / year
- Full-time
Working knowledge of at least one object-oriented language (Java, C#, C++, or Python)
Added 6 months ago
V
AI Software Engineer
VoiceValet
Vancouver, British Columbia
- $80,000 to $110,000 CAD / year
- Full-time
Experienced with object-oriented development (e.g. Python)
Added 6 months ago
C
AI Native Engineer, Growth Marketing
CookUnity
Toronto, Ontario
- $190,000 to $220,000 CAD / year
- Full-time
This is a rare hybrid role. You're equal parts engineer and growth practitioner - someone who can write a Python script in the morning, ship a Braze-connected AI workflow by afternoon, and…
Added 6 months ago
LI
Artificial Intelligence Engineer
LanceSoft, Inc.
Montreal, Quebec
- Contract
Added 6 months ago
TA
Senior Machine Learning Engineer (GCP)
Tiger Analytics
Canada
- Full-time
Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable…
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
Strong Python + NLP toolkit experience (Hugging Face Transformers, spaCy, NLTK, or similar)
Added 3 months ago
DD
Software Engineer Fullstack
Dominion Dynamics
Ottawa, ON
- Full-time
Strong production experience in Python and JavaScript/TypeScript; comfort writing clean, testable code.
Added 3 months ago
E
Backend Engineer, Growth & Agents
EvenUp
Remote, Canada
- Full-time
- Remote
We’re looking for a Senior Backend Engineer to join our Growth engineering pod, part of a combined Growth & Agents organization building the next generation of AI-powered customer…
Added 2 months ago
AI/ML Research Intern
DRW
Montreal, QC
…during your time here. Each project, advised by a software engineer, promotes a comprehensive learning experience and provides you with meaningful work…
Added 3 months ago
WM
Business Scientist, Energy Intelligence
Wyse Meter Solutions Inc
Vaughan, Ontario
- $75,000 to $120,000 CAD / year
- Full-time
A recognized energy credential - P.Eng., Engineer, Certified Engineering Technologist (CET), or Certified Energy Manager (CEM).
Added 1 month ago
TC
Automation QE
Tata Consultancy Services
Halifax, NS
- $90,000 to $110,000 CAD / year
- Full-time
We are seeking an experienced Automation Quality Engineer with hands‐on experience in designing, developing, and maintaining automated test frameworks.
Added 1 month ago
J
Senior Reliability Engineer - Embedded Products
Jobgether
Canada
- $162,900 to $244,300 CAD / year
- Full-time
…next steps. Our partner is looking for a Senior Reliability Engineer - Embedded Products based in…
Added 1 month ago
EE
Quality Assurance Specialist
Enerva Energy Solutions
Calgary, AB
- $55,000 to $70,000 CAD / year
- Full-time
We're looking for a QA Engineer to own quality across the software we build - the web applications, data tools, and AI features behind our energy and emissions programs. You'd be our first…
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
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
…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…
Added 1 month ago
H
System Design Specialist, Intermediate
Hitachi
Toronto, ON · (RSBU) Toronto
- Full-time
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.

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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