Find work in Canada.

497,859 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 12 mins ago
T
Data & AI Alliance Executive
Toast
Toronto, ON
- $130,000 to $165,000 USD / year
- Full-time
Experience with emerging technologies such as AI, machine learning, cloud data warehousing, and SaaS, and building joint value propositions
Added 12 mins ago
T
Manager, Software Delivery Developer - Gen AI and AI-Accelerated Modernization
Toast
Montreal, QC
- $103,000 to $150,000 USD / year
- Full-time
Experience designing and delivering solutions on Microsoft Azure, including application, integration, data, DevOps, or cloud-native services
Added 12 mins ago
T
Senior Manager - Senior Tech Lead – AI & Technology Transformation
Toast
Montreal, QC
- $103,000 to $190,000 USD / year
- Full-time
Mentor a multidisciplinary team of developers, architects, data and ML engineers, business analysts and UX designers while holding a high bar for quality and documentation
Added 12 mins ago
T
Director, Google Gemini Enterprise, Data & AI
Toast
Toronto, ON
- $147,000 to $192,000 USD / year
- Full-time
…advising organizations on audit, tax, and advisory work. Their Data & AI practice is one of the fastest growing parts of the firm, driven by strong demand from clients across sectors who…
Added 13 mins ago
W
Principal Software Development Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Experience building and operating SaaS products in cloud environments (AWS preferred)
Added 28 mins ago
RI
AI Engineer
Remarcable, Inc.
Remote, Canada
- Full-time
- Remote
As our AI Engineer, you will turn the data flowing through Remarcable every day (purchase orders, quotes, invoices, inventory and supplier catalogs) into AI features that save contractors…
Added 43 mins ago
O
NA Sales Representative, Applications - Opower
Oracle
Canada
- Full-time
Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products…
Added 43 mins ago
N
Senior Data Reliability Developer
nesto
Canada
- Full-time
Our Data team is the backbone of Nesto Cloud, managing the flow of data that powers Canada’s most advanced mortgage platform. As a Senior Data Reliability Developer, you won't just be…
Added 43 mins ago
N
Director of AI Delivery
nesto
Toronto, ON
- Full-time
…combine over 50 years of mortgage expertise with proprietary cloud and AI technology to transform the future of…
Added 43 mins ago
E
Data Scientist
Ericsson
Ottawa, ON
- Full-time
At Ericsson, we invite you to join us in the role of Developer. This integral position offers the chance to engage directly in the development and maintenance of our robust portfolio of…
Added 43 mins ago
N
Director of AI Delivery
nesto
Montreal, QC
- Full-time
…combine over 50 years of mortgage expertise with proprietary cloud and AI technology to transform the future of…
Added 43 mins ago
E
Developer (Production Engineering and AI Platform)
Elumai
Remote, Canada
- Full-time
- Remote
Prevent and recover from outages: cloud services, GPU servers, deploys
Added 43 mins ago
K
Senior Consultant - IT Risk Services
KPMG
ON · Toronto, Ontario
- Full-time
Bachelor’s or Masters degree in Business, Information technology, Data Science or Computer Science degree required
Added 1 hour ago
AC
IT Infrastructure Project Manager
Amphenol Communications Solutions
Markham, ON
- Full-time
…assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and…
Added 1 hour ago
R
Laboratory GxP Systems Specialist II
Replimune
Montreal, QC
- Full-time
Support system reliability, cybersecurity, data integrity, disaster recovery, and troubleshooting of laboratory applications and instrument software.
Added 1 hour ago
C
Analyste principal(e) en soutien applicatif – Actions
CGI
Montreal, QC
- Full-time
…teams achieve our ambitious business goals by implementing a data centric enterprise architecture dedicated to Capital…
Added 1 hour ago
SM
AI Solutions Developer
Sandbox Mutual Insurance
Saskatoon, SK
- Full-time
Technical Knowledge: Understanding of data management, system integration, APIs, databases, cloud technologies, and automation platforms
Added 1 hour ago
S
Sales Account Executive - SAP Academy for Customer Success - Canada (Hybrid)
SAP
Vancouver, BC
- Full-time
SAP Business Technology Platform (BTP) & SAP Business Data Cloud (BDC) - Knowledge in database and data management, analytics, application development and integration, intelligent…
Added 1 hour ago
R
Lead Information Security Analyst, Vulnerability and External Attack Surface Management (T & I) (Telework/Hybrid)
Radio-Canada
Montreal, QC
- Full-time
…- including internet-exposed assets, domains, certificates, cloud accounts, public APIs and exposed data - while driving continuous improvements to internal and hybrid vulnerability…
Added 1 hour ago
PM
Solutions Architect
Philip Morris International
Toronto, ON
- Full-time
Collaborate with development, infrastructure, security, and data teams throughout the solution lifecycle.
Added 2 hours ago
R
Hyper Automation Lead
Raise
Calgary, AB
- Full-time
Ensure access, credentials, environments, connectors, data use and production changes are managed through approved controls.
Added 2 hours ago
TG
Project Analyst Intern
TMX Group
Toronto, ON
- $20 to $23 CAD / hour
- Full-time
Strong proficiency in Google Workspace (Google Docs, Google Slides, Google Sheets) and Microsoft Excel (e.g., building tables, formulas, basic data manipulation).
Added 2 hours ago
AI
Forward Deployed Engineer (Python/Pyspark Developer)
Apptoza Inc.
Toronto, ON
- Full-time
Design, develop, and deploy enterprise AI and data applications using Python, PySpark, SQL, REST APIs, FastAPI, and cloud data platforms.
Added 2 hours ago
D
Accounting and Administration Officer
Deloitte
Toronto, ON
- Full-time
We leverage some of the best-in-class technologies - cloud platforms, automation, data analytics, and secure digital communications - to streamline every step of the process. From intake…
Added 2 hours ago
S
Account Executive - SMB (Retail)
Solink
Ottawa, ON
- $118,000 to $140,000 CAD / year
- Full-time
Our cloud-based platform integrates seamlessly with your existing cameras and systems, turning them into intelligent sensors that detect and interpret key moments. This empowers teams to…

TMX Group

Senior Manager, AI and Data

Toronto, ON, Canada

$165,000 to $175,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $165,000 to $175,000 CAD / year
Job type: Full-time
Apply by: Nov 25, 2026
Posting language: English
Posted: Oct 26, 2026

Original job description

Venture outside the ordinary - TMX Careers

The TMX group of companies includes leading global exchanges such as the Toronto Stock Exchange, Montreal Exchange, and numerous innovative organizations enhancing capital markets. United as a global team, we’re connecting cross-functionally, traversing industries and geographies, moving opportunity into action, advancing global economic growth, and propelling progress. Through a rich exchange of ideas, meaningful collaboration, and a nimble operating model, we're powering some of the nation's most critical systems, fueling capital formation and innovation, bringing increased opportunity to business visionaries, product ingenuity to consumers, and career exploration to our team.

Ready to be part of the action?

Key Responsibilities

Define and execute an integrated AI and data roadmap in partnership with business and technology leaders.
Build, coach, and retain a high-performing, diverse team spanning data engineering, and AI engineering; manage hiring, performance, and career development.
Communicate technical concepts, trade-offs, and results clearly to executives and non-technical stakeholders.
Manage delivery against budgets, timelines, and quality standards, and apply agile methods appropriately.
Lead the design and delivery of data and AI solutions, including NLP, forecasting and time series, anomaly detection, and generative AI, for use cases across market data, trading, risk, corporate functions, and operational domains.
Guide the responsible use of generative AI and LLM-based solutions, including RAG, agentic workflows, prompt and model evaluation, vector search, and guardrails.
Oversee the full AI/ML lifecycle: experimentation, training, evaluation, deployment, monitoring (including drift and performance), and retirement.
Establish MLOps practices such as model registries, feature management, reproducible pipelines, and automated validation and release.
Oversee data modelling, warehousing and lakehouse architecture, and streaming, ensuring the data layer is ready to serve both analytics and AI workloads.
Make build-versus-buy and platform-fit decisions across AWS and Snowflake services for data and AI workloads, balancing performance, cost, and maintainability.
Drive adoption of modern engineering practices across data and AI, including CI/CD, infrastructure as code, automated testing, code review, and observability.
Establish and uphold standards for model risk management, data quality, lineage, privacy, and responsible AI.
Promote transparency, explainability, and fairness in AI-driven decisions.
Partner with Information Security, Legal, Compliance, and Risk to ensure solutions meet regulatory, contractual, and internal policy requirements.
Work across business lines, enterprise architecture, and technology teams to align on platforms and standards.
Evaluate and manage technology vendors, cloud services, and partnerships.
Own production support for the AI and data applications, pipelines, and platform components the team delivers, including incident response, root cause analysis, and problem management.
Define and meet service levels (SLAs/SLOs) for availability, data freshness, latency, and model performance, and report on them to business partners.
Establish and run an operating model for support, including on-call rotations, escalation paths, runbooks, and handover between delivery and run teams.

Required Qualifications

Leadership and Experience

Degree in Computer Science, Software Engineering, Applied Mathematics, or a related quantitative field.
8+ years of experience in data, AI/ML, or software engineering, including 3+ years leading technical teams or managing managers.
Proven record of delivering both data products and AI/ML products into production at scale.
Strong stakeholder management, with the ability to influence senior leaders and translate business needs into technical solutions.
Strong communication skills, with the ability to translate AI and data work into business impact.

AI Expertise

Production experience delivering ML or AI solutions, including at least one of NLP, time series, or computer vision.
Hands-on or deep working knowledge of generative AI and LLM application patterns (RAG, agents, evaluation, guardrails) and a track record of taking at least one such solution to production.
Solid understanding of machine learning and statistics (supervised and unsupervised learning, deep learning, model evaluation).
Experience with MLOps practices, including model deployment, monitoring, and lifecycle management.
Familiarity with ML frameworks and tooling such as PyTorch, TensorFlow, scikit-learn, and MLflow.
Familiarity with model risk management and responsible AI frameworks.

Data Expertise

Advanced SQL and strong Python skills, with experience in performance tuning on large datasets.
Strong experience with Snowflake, including virtual warehouses, Snowpipe, Streams and Tasks, RBAC and masking policies, and cost management.
Hands-on experience with core AWS data and security services (S3, IAM, KMS, Glue, Lambda, Kinesis or MSK).
Experience with data architecture, data modelling, data warehousing and lakehouse patterns, and streaming technologies, including open table formats such as Apache Iceberg.
Experience with data tooling such as Spark, Kafka, Airflow, and dbt.
Familiarity with data governance, quality, lineage, and privacy frameworks.

Platform and Tooling (Shared)

Experience with cloud platforms (AWS, Azure, or GCP) and containerization/orchestration (Docker, Kubernetes).
Proficiency with CI/CD pipelines, Git-based workflows, and infrastructure as code (e.g., Terraform).
Familiarity with monitoring, logging, and alerting for production systems, including SLOs and incident response.

Qualities

Strategic thinking and business acumen
People leadership and talent development
Technical credibility and sound judgment
Accountability and results orientation
Collaboration and influence without authority
Integrity and commitment to responsible AI

Salary Range: $165,000 - $175,000/year CAD. Please note that the salary range included is a guideline only. The salary offered may vary based on factors, including, but not limited to, the successful candidate’s relevant knowledge, skills, and experience.

The recruiting efforts for this role are intended to fill a vacant position.

In the market for…

Excitement - Explore emerging technology and innovation, as well as ventures and digital finance that shape the future of global markets! Experience the movement of the market while grounded in the stability of close to 200 years of success.

Connection - With site hubs in some of the world’s most multicultural cities, we leverage our size and structure to create rich connections and belonging while experiencing powerful global impact through our work.

Impact - More than a platform, we use our talents to power mission-critical systems that drive global economic advancement, innovation, and growth. As well, our employee-led Team Impact spreads social good via our giving strategy.

Wellness - From empathetic leadership to a culture of flexibility and balance, we believe wellness at work creates the maximum yield and a stronger “we”. Plus, with a cloud-first and hybrid workstyle, as well as generous time-off and leaves, we support a life well lived!

Growth - From a growth mindset in our work, to expansion in our business, TMX is home to action-takers energized by the achievement of ambitious growth.

Ready to enrich your career with impactful work, leaders who truly care, and the flexibility and programs to help you thrive as part of #TeamTMX ? Apply now.

Please note that our company is not currently sponsoring work permit applications and the applicant must be authorized to work in the country where this position is located.

TMX is committed to creating and sustaining a collegial work environment in which all individuals are treated with dignity and respect and one which reflects the diversity of the community in which we operate. We provide accommodations for applicants and employees who require it.

Apply About employer

More about this job

Responsibilities

Define and deliver the AI and data roadmap, lead a multidisciplinary engineering team, and oversee production AI/ML and data solutions across the organization. Establish responsible AI, governance, MLOps, and production support practices while managing delivery, platforms, vendors, and service levels.

Requirements

Requires a degree in computer science, software engineering, applied mathematics, or a related quantitative field, with 8+ years of relevant experience and 3+ years leading technical teams or managers. Candidates need a proven record delivering production data and AI products, strong expertise in AI/ML and generative AI, and hands-on knowledge of data platforms, cloud services, engineering practices, and production operations.

Skills

AI Strategy
People Leadership
Machine Learning
Generative AI
Large Language Models
MLOps
Python
SQL
Snowflake
AWS
Data Architecture
Data Engineering
Data Governance
Responsible AI
CI/CD
Incident Response

Benefits

Flexible Workstyle
Generous Time Off
Leaves
Wellness Programs

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
Agentic Workflows
Natural Language Processing
Time Series Forecasting
Anomaly Detection
MLOps
Python
SQL
Snowflake
AWS
S3
IAM
KMS
Glue
Lambda
Kinesis
Apache Iceberg
Spark
Kafka
Airflow
dbt
PyTorch
TensorFlow
scikit-learn
MLflow
Docker

Report this job