Find work in Canada.

500,675 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 12 mins ago
D
Programmer Analyst, System and infrastructure operations, maintenance and development
Desjardins
Levis, QC
- Full-time
…designing, configuring, developing, maintaining and upgrading software products in accordance with the organization’s requirements. Your skills in technology and your ability to anticipate…
Added 12 mins ago
MF
Staff Software Engineer
Magnet Forensics
Canada
- Full-time
This is a hands-on technical leadership role: Part Architect, Part Builder, and Part Mentor. You’ll lead by example, designing a scalable data enrichment service, and guiding engineering…
Added 27 mins ago
AS
AWS Cloud Architect
Ardent SoftSol Inc.
Mississauga, ON
- $50 to $55 CAD / hour
- Contract
We are seeking a highly skilled AWS API Lead Architect to lead the architecture, design, governance, and implementation of enterprise API and cloud-native solutions. The ideal candidate…
Added 27 mins ago
JG
AWS / API lead and Architect
J&M Group
Mississauga, ON
- Contract
We are seeking a highly skilled AWS API Lead Architect to lead the architecture, design, governance, and implementation of enterprise API and cloud-native solutions. The ideal candidate…
Added 27 mins ago
AA
Growth Engineer
Arvo A.I.
Montreal, QC
- Full-time
…VC-backed Montreal company that has raised over $1M, and is used by engineering teams running Kubernetes with Datadog, Grafana or PagerDuty. We have no sales or marketing teams today. You…
Added 27 mins ago
KR
SDET/Automation – Mobility (IOS Applications)
KTek Resourcing
Vancouver, BC
- Contract
About this team: This role is in Digital Engineering and Delivery team. This team is responsible for engineering and deploying Engineering solutions for our stores to enhance customer…
Added 27 mins ago
FG
Lead Software Engineer, Full-Stack Applications - AI Fluent
Fitch Group
Toronto, ON
- $180,000 to $220,000 CAD / year
Fitch Ratings is seeking a Lead Software Engineer to join our global Ratings Technology team in Toronto. This is an opportunity to build mission-critical platforms while helping shape the…
Added 57 mins ago
S
Software Engineer Manager
symplistic.ai
Woodbridge, ON
- $150,000 CAD / year
- Full-time
We seek a hands-on Engineering Manager to lead ContentIQ's development, quality, delivery, and operation. You'll mentor engineers while actively coding, making architectural decisions, and…
Added 57 mins ago
Senior Engineering Manager - Analytics Platform
Faire
Kitchener, ON · Toronto, ON
We’re hiring a Senior Engineering Manager to lead Faire’s Analytics Platform team. You will manage data warehousing, ETL pipelines, medallion data sets, BI tooling, and agentic analytics…
Added 1 hour ago
S
Absence, Time Tracking & Payroll Lead, BC Health Workday
Sanya’k̓ula
BC · British Columbia, Canada
- Full-time
…2023 to implement a Human Capital Management System (HCMS) software solution as part of the BC Health Human Resources Strategy to transform HR services. Designed by Workday Canada, the new…
Added 1 hour ago
TS
Intermediate-Senior Water/Wastewater Process Engineer
TalentSphere Staffing Solutions
Mississauga, ON
- Full-time
Overview: Our client is an established engineering firm with more than 50 years of experience providing tailored municipal planning and development services to its clients across Ontario is…
Added 3 hours ago
Solutions Engineering Lead, International Upmarket Customers
Toast
Toronto, ON
Lead security, IT and compliance reviews. Own vendor security questionnaires, PCI scoping conversations and the technical sections of RFPs.
Added 3 hours ago
Senior Solutions Engineer
Toast
Toronto, ON
Lead security, IT and compliance reviews. Own vendor security questionnaires, PCI scoping conversations and the technical sections of RFPs.
Added 6 hours ago
S
Senior Plant Process Engineer
Svante
Burnaby, BC
- Full-time
Lead the process engineering design, development, commissioning, startup support, and optimization of commercial-scale carbon capture facilities across a range of industrial sectors.
Added 7 hours ago
SD
Specialized Account Executive- Simulation- Hybrid
Siemens Digital Industries Software
Montreal, QC
- Full-time
As part of a Country or Vertical Software Sales organization, you are responsible for generating and closing specialised SaaS and Hybrid SaaS software revenue opportunities, primarily…
Added 7 hours ago
SD
Specialized Account Executive- Simulation- Hybrid
Siemens Digital Industries Software
Toronto, ON
- Full-time
As part of a Country or Vertical Software Sales organization, you are responsible for generating and closing specialised SaaS and Hybrid SaaS software revenue opportunities, primarily…
Added 8 hours ago
SL
Senior Security Platform Developer, Security Automation (Python, Splunk SOAR)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Lead the technical design and implementation of automation solutions supporting security initiatives and enterprise-level projects, including proof-of-concept/proof-of-technology…
Added 8 hours ago
A
Software Development Manager, Integration ML Models
Autodesk
Toronto, ON
- Full-time
Autodesk is building AI that helps architects and engineers design, build, and operate the world around them. As the Software Development Manager, you will lead the team that brings our…
Added 8 hours ago
A
Software Development Manager, Integration ML Models
Autodesk
Toronto, ON
- Full-time
Autodesk is building AI that helps architects and engineers design, build, and operate the world around them. As the Software Development Manager, you will lead the team that brings our…
Added 8 hours ago
BC
Senior Mechanical Engineer Trail, BC
BBA Consultants
Trail, BC
- Full-time
As a Mechanical Engineer at BBA Trail Office, you will play a key role in all phases of engineering projects from front-end studies to detailed design and field implementation. As an…
Added 10 hours ago
TR
Senior Director, GTM AI Product Leader
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Build and lead a team of product managers and business analysts, and influence a broader matrixed group of Engineering, Data, and GTM Operations partners.
Added 11 hours ago
J
Senior FDIR-FSW Systems Engineer
Jobgether
Canada
- Full-time
…(LEO) and Medium Earth Orbit (MEO) satellite missions. You will lead the analysis and development of Fault Detection, Isolation, and Recovery (FDIR) strategies to ensure robust spacecraft…
Added 11 hours ago
J
Senior FDIR-FSW Systems Engineer
Jobgether
Canada
- Full-time
…(LEO) and Medium Earth Orbit (MEO) satellite missions. You will lead the analysis and development of Fault Detection, Isolation, and Recovery (FDIR) strategies to ensure robust spacecraft…
Added 12 hours ago
A
Lead AI Security Developer
ATB
Calgary, AB · Edmonton, AB
- Full-time
Experience developing software using Python or another modern programming language, with a strong understanding of APIs, integrations, and software engineering practices.
Added 12 hours ago
A
Senior Manager, Cloud & AI Security
ATB
Calgary, AB · Edmonton, AB
- Full-time
…truly thrive. Our Leader DNA model sets the standard for how we lead people, drive business performance, and shape a dynamic future. This is the place for purpose-driven individuals ready…

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: Oct 31, 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 execute an integrated AI and data roadmap while leading a high-performing team of data and AI engineers. Oversee the full AI/ML lifecycle, including design, deployment, and MLOps practices, to support critical business functions.

Requirements

Requires a degree in Computer Science, Software Engineering, or a related quantitative field with over 8 years of experience in data or AI engineering. Candidates must have proven leadership experience and deep technical expertise in generative AI, MLOps, and cloud data platforms like Snowflake and AWS.

Skills

AI strategy
Data engineering
Team leadership
Generative AI
LLM
MLOps
Python
SQL
Snowflake
AWS
Data architecture
Stakeholder management
Cloud platforms
CI/CD
Model risk management
Agile methodologies

Benefits

Flexible workstyle
Generous time-off
Leaves
Wellness programs

Visa sponsorship

Not detected in the job text

Keywords

AI
Data Engineering
Machine Learning
Generative AI
LLM
RAG
MLOps
Snowflake
AWS
Python
SQL
CI/CD
Terraform
Kubernetes
Docker
Apache Iceberg
Spark
Kafka
Airflow
dbt
Data Warehousing
Lakehouse
Model Risk Management
Agile
Cloud Computing
Infrastructure as Code
Data Governance
Streaming
Time Series
NLP

Report this job