Jobs in Toronto, ON and nearby (95,100 jobs)

Jobs within 25 km of Toronto, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

95,100 listings · 10,911 employers Counted Nov 6, 2026. How we count

About these jobs

Employers hiring include Shoppers Drug Mart (1,513 listings), Loblaw Companies Limited (1,323 listings), Scotiabank (992 listings).

Common roles: Software engineer, Project manager, Retail sales associate.

15,560 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / year	85,000.00	9,108
CAD / hour	26.50	5,925
USD / year	155,000.00	78
CAD / month	4,500.00	39
CAD / week	1,650.00	32
CAD / day	140.00	13

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 29% hybrid, 71% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Toronto, ON and nearby

Within 25 km

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Added 1 hour ago
SM
RQ11843 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 1 hour ago
UO
Coordinator, Access Initiatives and Community Outreach (Part-Time, TERM)
University of Toronto
Toronto, ON
- Part-time
Added 1 hour ago
RB
Associate Director, Wholesale & Commercial Credit Risk
Royal Bank of Canada
Toronto, ON
- Full-time
Added 1 hour ago
EI
Chemical Mixer, Afternoon Shift
Ecolab Inc.
Mississauga, ON
- Full-time
Added 1 hour ago
EI
Production Lead-Mixing (Afternoon)
Ecolab Inc.
Mississauga, ON
- Full-time
Added 1 hour ago
HC
Part Time Seasonal Sales Associate - BOSS Vaughan
HB Canada, Inc.
Vaughan, ON
- Part-time
Added 1 hour ago
WK
Revenue Growth Analyst - Contractor
WK Kellogg
Mississauga, ON
- Part-time
Added 1 hour ago
E
Membership Sales Advisors, Toronto
Equinox
Toronto, ON
- Full-time
Added 1 hour ago
Sr/Staff Digital Design Engineer
Lightmatter
Toronto, ON
Added 1 hour ago
M
Stagiaire en affaires médicales / Medical Affairs Intern
Merck
Toronto, ON
- Full-time
Added 1 hour ago
H
eTrading Engineering Lead
HSBC
Toronto, ON
- $111,300 to $166,900 CAD / year
- Full-time
Added 1 hour ago
MP
Receptionist
Mount Pleasant Group
Richmond Hill, ON
- $52,332 to $55,951 CAD / year
- Full-time
Added 1 hour ago
W
(CAN) Manager, Learning and Development
Walmart
Mississauga, ON
- Full-time
Added 1 hour ago
H
Sr Procurement Project Specialist
Honeywell
Markham, ON
- Full-time
Added 1 hour ago
A
Analyst, Investment Research and Solutions
ATB
Toronto, ON
- Full-time
Added 1 hour ago
EL
Key Holder - Le Labo - Seasonal FT Temp - Hazelton, ON
Estée Lauder Companies
Toronto, ON
- Full-time
Added 1 hour ago
M
Critical Environment Electrical Engineering
Microsoft
Toronto, ON
- Full-time
Added 1 hour ago
M
Senior Critical Environment Mechanical Engineer
Microsoft
Toronto, ON
- Full-time
Added 1 hour ago
T
Associate Vice President, Small Business Banking, Data and Analytics, Insights & Artificial Intelligence
TD
Toronto, ON
- Full-time
Added 1 hour ago
EC
RMA & Returns Associate
Eaton Corporation
Toronto, ON
- Full-time
Added 1 hour ago
EC
PS C&I National Sales Manager
Eaton Corporation
Toronto, ON · Mississauga, ON
- Full-time
Added 1 hour ago
C
WFM Real Time Management Analyst (Onsite)
CNX
Mississauga, ON
- $60,000 to $65,000 CAD / year
- Full-time
Added 1 hour ago
B
Senior Technical Specialist
BMO
Toronto, ON
- Full-time
Added 2 hours ago
I-
Cook (Food Catering Company)
I8IS - Infiniti Software Solutions
Markham, ON
- Full-time
Added 2 hours ago
MG
Registered Practical Nurse (Medicine Health Services - Respirology T9*)
Michael Garron Hospital
Toronto, ON
- Full-time

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!

Senior Forward Deployed AI Engineer (Python, Data & GenAI)

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 4, 2026
Experience: 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering.
Posting language: English
Posted: Oct 13, 2026

Original job description

Senior Forward Deployed AI Engineer (Python, Data & GenAI)

The Opportunity

We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You will work closely with business users, subject matter experts, product owners, and engineering teams to understand complex workflows, rapidly validate solutions using real data, remove technical blockers, and own delivery through production launch, stabilization, adoption, and handover.

What You Will Do

Work with subject matter experts, product owners, business users, and engineers to map workflows, users, data, constraints, and decision points.
Agree on the first useful release, measurable success criteria, and a practical roadmap from prototype to production.
Profile unfamiliar data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.
Build working solutions using real data and APIs, validate them with users, and iteratively harden them for production.
Design, develop, and deploy enterprise AI and data applications using Python, PySpark, SQL, REST APIs, FastAPI, and cloud data platforms.
Build Claude-powered applications, copilots, and AI workflows using prompt engineering, RAG, vector databases, semantic search, and agentic AI patterns.
Design batch, real-time, and streaming data pipelines and integrations across enterprise systems.
Implement MLOps/LLMOps capabilities, including lifecycle management, CI/CD, MLflow, monitoring, deployment automation, rollback, and production support.
Create evaluation datasets with subject matter experts, measure model and LLM quality, perform structured error analysis, and prioritize improvements.
Resolve data-access, API, identity, network, security, infrastructure, and deployment blockers with technical teams.
Own post-go-live monitoring, incident diagnosis, rollback, stabilization, latency, performance, reliability, and cost optimization.
Measure adoption and business impact using agreed KPIs, then complete structured handover with runbooks, support ownership, and knowledge transfer.

What You Bring

10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering.
Strong hands-on expertise in Python, PySpark, SQL, REST APIs, FastAPI, Git, Docker, Kubernetes, Airflow, MLflow, CI/CD, and distributed processing.
Experience with Claude, prompt engineering, RAG, vector databases, semantic search, and agentic AI patterns.
Strong knowledge of ETL/ELT, batch and streaming pipelines, data quality, metadata, lineage, observability, and DataOps.
Experience operationalizing MLOps/LLMOps, including model lifecycle management, automated deployment, monitoring, rollback, and production support.
Knowledge of enterprise cloud services across compute, storage, integration, orchestration, networking, monitoring, security, and cost optimization.
Understanding of IAM/RBAC, encryption, secrets management, privacy controls, auditability, compliance, and secure data access.
Ability to translate business requirements into scalable designs, define non-functional requirements, estimate effort, and drive implementation.
Financial services experience and strong client-facing skills across discovery, rapid prototyping, solution shaping, workshops, and technical presentations.
Bachelor's degree in a relevant discipline. Cloud, Kubernetes, AI engineering, MLOps, data engineering, architecture, or security certifications are preferred.

Apply About employer

More about this job

Responsibilities

Partner with business users, subject matter experts, and engineering teams to understand workflows, assess real-world data, and deliver enterprise AI and data applications from prototype through production launch. Operate and improve deployed solutions by managing pipelines, model quality, monitoring, incidents, performance, adoption, and handover.

Requirements

Requires 10+ years of experience in data engineering, AI application development, cloud data platforms, and production software engineering, with hands-on expertise in Python, PySpark, SQL, APIs, cloud technologies, and MLOps/LLMOps. A relevant bachelor's degree, financial services experience, and strong client-facing skills are required; relevant cloud, Kubernetes, AI, data, architecture, MLOps, or security certifications are preferred.

Skills

Python
PySpark
SQL
REST APIs
FastAPI
Claude
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Semantic Search
Agentic AI
Data Engineering
MLOps/LLMOps
Kubernetes
Client-Facing Consulting
Financial Services

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
SQL
REST APIs
FastAPI
Claude
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Semantic Search
Agentic AI
ETL/ELT
Batch Processing
Streaming Data Pipelines
Data Quality
DataOps
MLOps
LLMOps
MLflow
CI/CD
Docker
Kubernetes
Airflow
Distributed Processing
Cloud Data Platforms
IAM/RBAC
Financial Services
Model Monitoring
Data Lineage
Incident Management

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