Jobs in Toronto, ON and nearby (95,470 jobs)

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

95,470 listings · 10,925 employers Counted Nov 7, 2026. How we count

About these jobs

Employers hiring include Shoppers Drug Mart (1,525 listings), Loblaw Companies Limited (1,333 listings), S M Software Solutions Inc (999 listings).

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

15,605 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	9,131
CAD / hour	26.46	5,946
USD / year	155,000.00	78
CAD / month	4,500.00	39
CAD / week	1,650.00	33
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

Email me new jobs Save this search

Added 22 hours ago
FS
Contract Room Service Server
Four Seasons Hotels and Resorts
Toronto, ON
- Full-time
Added 22 hours ago
Territory Manager - Heritage Division (Golden Horseshoe)
Southern Glazer’s Wine and Spirits, LLC
Toronto, ON
Added 22 hours ago
FC
Credit Risk Analytics Manager
Fidelity Canada
Toronto, ON
- Full-time
Added 22 hours ago
F/
Business Manager
FCC / FAC
Toronto, ON
- Full-time
Added 22 hours ago
PC
Sr Specialist – Retail Technology Platform
Parkland Corporation
Mississauga, ON
- Full-time
Added 22 hours ago
ST
Senior Associate, Fund Accounting
SS&C Technologies
Mississauga, ON · Toronto, ON
- Full-time
Added 22 hours ago
TR
Senior Financial Analyst, Financial Reporting
Torex Resources Inc
Toronto, ON
- Full-time
Added 22 hours ago
Reliability & Process Engineer
CONA Services
Toronto, ON
Added 22 hours ago
Senior Manager, Strategic Finance & Deal support
Bell
Toronto, ON
Added 22 hours ago
Process Engineer
CONA Services
Toronto, ON
Added 22 hours ago
Manager, EHS
Aecon
Toronto, ON
Added 22 hours ago
Senior Consultant, Proposal Management
Bell
Toronto, ON
Added 22 hours ago
FI
Help Desk Support Specialist
Flexstaf I.T. Inc.
Toronto, ON
- Contract
Added 22 hours ago
CI
Business Development Representative
Citylitics Inc.
Toronto, ON
- $45,000 to $55,000 CAD / year
- Full-time
Added 22 hours ago
DI
Business System Analyst( Payroll)
Dawn InfoTek
Toronto, ON
- Contract
Added 22 hours ago
MS
Receptionist
Marberg Staffing
Toronto, ON
- $20 to $23 CAD / hour
- Temporary
Added 22 hours ago
H
Co-op/Intern, Software Development - Winter 2027
Hootsuite
Toronto, ON
- Internship
Added 22 hours ago
I
Manager, Art Direction (14-month contract)
Indigo
Toronto, ON
- $100,000 to $125,000 CAD / year
- Contract
Added 22 hours ago
P
Account Director
PRAXIS
Toronto, ON
- Full-time
Added 22 hours ago
B
Data Scientist-AI/ML
BeachHead
Toronto, ON
- $49.49 to $59.38 CAD / hour
- Contract
Added 22 hours ago
K
Chemical Technologist - Radiochemistry, General (wet) Chemistry
Kinectrics
Toronto, ON
- Full-time
Added 22 hours ago
C
Supply Chain Planner
Collabera
Mississauga, ON
- $35 to $39 CAD / hour
- Contract
Added 22 hours ago
IS
Frontend Developer
Iris Software Inc.
Toronto, ON
- Contract
Added 22 hours ago
ZI
Operations Manager
ZenaTech Inc.
Toronto, ON
- Full-time
Added 22 hours ago
DS
BA Treasury
Damco Solutions
Mississauga, 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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