Jobs in Vaughan, ON and nearby

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

81,035 listings · 9,804 employers Counted Nov 2, 2026. How we count

About these jobs

Employers hiring include Husky Technologies (1,770 listings), Loblaw Companies Limited (1,395 listings), Shoppers Drug Mart (1,269 listings).

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

12,531 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	6,528
CAD / hour	26.00	4,904
USD / year	120,000.00	477
USD / hour	26.95	245
CAD / month	6,217.52	30
CAD / week	2,914.00	19

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, 27% hybrid, 72% 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 Vaughan, ON and nearby

Within 25 km

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Added 2 days ago
UO
Sessional Lecturer - EDS291H5S Black Education
University of Toronto - Woodsworth College
Toronto, ON
- Full-time
Added 2 days ago
UO
Sessional Lecturer - EDS310H5S Education in a Global Context
University of Toronto - Woodsworth College
Toronto, ON
- Full-time
Added 2 days ago
UO
Sessional Lecturer - PHL245H5 S - Modern Symbolic Logic - LEC0102 - Hybrid
University of Toronto - Woodsworth College
Toronto, ON
- Full-time
Added 2 days ago
C
Volunteer Vice President of Sustainability and Growth
Connect4Life
Toronto, ON
- Volunteer
Added 2 days ago
C
Senior Mobile Solutions Lead
Cognizant
Toronto, ON
- $60,000 to $95,000 CAD / year
- Full-time
Added 2 days ago
R&
AML Operations Officer III
Robertson & Company Ltd.
Toronto, ON
- Contract
Added 2 days ago
ZI
construction inspector
Zgemi Inc.
Brampton, ON
- Full-time
Added 2 days ago
LT
income tax return preparer
Liberty Tax
Newmarket, ON
- Full-time
Added 2 days ago
AI
cook
Aanch-Modernistic Indian Cuisine
Toronto, ON
- Full-time
Added 2 days ago
T
Senior New Business Account Executive
Tailscale
Toronto, ON
- Full-time
Added 2 days ago
CG
Security Guard - Spare - Newmarket
Commissionaires Great Lakes
Newmarket, ON
- Part-time
Added 2 days ago
SC
shift supervisor - Store# 55463, INDIGO - HILLCREST
Starbucks Coffee Company
Richmond Hill, ON
- Full-time
Added 2 days ago
B
Facility Manager III
BGIS
Toronto, ON
- Full-time
Added 2 days ago
B
Systems Analyst II
BGIS
Markham, ON
- Full-time
Added 2 days ago
IF
Vendor Management Analyst, Tech+Lab
Intact FC
Toronto, ON
- Full-time
Added 2 days ago
Mobile Security Guard
GardaWorld
Toronto, ON
Added 2 days ago
LT
Aquatics Lifeguard
Life Time Inc.
Woodbridge, ON
- Part-time
Added 2 days ago
Q
Power Systems Specialist III
Qualus
Bolton, ON
- Full-time
Added 2 days ago
AR
Founding Demand Generation Lead
Alloy River
Toronto, ON
- $200,000 to $350,000 CAD / year
- Full-time
Added 2 days ago
SC
Pastry Chef | Full Time | Downtown Toronto
Sodexo Canada Ltd
Toronto, ON
- Full-time
Added 2 days ago
Team Lead, Software Engineering
Questrade Financial Group
Toronto, ON
Added 2 days ago
Assistant Educator - Casual Supply
Upper Canada Child Care
Newmarket, ON
Added 2 days ago
G
Claims Adjuster
Gallagher
Toronto, ON
- Full-time
Added 2 days ago
SD
Cashier, Hourly Part Time Day
Shoppers Drug Mart
Richmond Hill, ON
- Part-time
Added 2 days ago
SD
Pharmacy Assistant, Hourly Part Time Day
Shoppers Drug Mart
Newmarket, ON
- Part-time

Tiger Analytics

Forward Deployed Engineer (FDE) - GenAI / Agentic AI

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Mar 29, 2027
Posting language: English
Posted: Sep 30, 2026

Original job description

Tiger Analytics is looking for experienced Forward Deployed Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview:

We're looking for a Forward Deployed Engineer who thrives at the intersection of client problem-solving and hands-on AI engineering. You'll partner directly with clients and engineering teams to turn complex business challenges into production-grade GenAI and Agentic AI solutions - owning the journey from first conversation to live deployment.

Requirements

Partner directly with clients to understand complex business problems and translate them into GenAI and Agentic AI solutions
Design, build, deploy, and scale LLM applications, RAG systems, AI agents, and multi-agent workflows
Integrate AI solutions with enterprise data, APIs, databases, and business applications
Deploy, operate, and scale solutions in production cloud environments
Troubleshoot and optimize production systems for performance, scalability, reliability, security, and cost
Collaborate closely with architects, ML engineers, developers, and client stakeholders in fast-moving, ambiguous environments

Qualifications:

Engineering Foundation

7+ years in software engineering, application development, ML engineering, or AI engineering
Strong Python programming skills
Solid grasp of APIs, system design, databases, cloud-native applications, and production deployments
JavaScript/TypeScript experience is a plus

GenAI / Agentic AI Expertise

Proven experience building and deploying end-to-end GenAI and/or Agentic AI solutions
Hands-on experience with LLMs - OpenAI, Anthropic Claude, Google Gemini, and open-source models
Hands-on experience with RAG, vector databases, embeddings, tool/function calling, and AI agents
Experience with agent orchestration, multi-agent systems, or agentic workflows
Familiarity with frameworks such as LangGraph, LangChain, LlamaIndex, Google ADK, or similar
Working knowledge of MCP, A2A, or similar agent integration protocols

Cloud & Production

Hands-on experience with at least one major hyperscaler - AWS, Azure, or GCP - including targeted expertise in:
AWS Stack: Designing workflows via Amazon Bedrock (Claude, Llama), deploying scalable RAG using OpenSearch Serverless (Vector Engine), and configuring Bedrock Guardrails for client VPCs
Azure Stack: Deploying enterprise LLMs via Azure OpenAI Service (PTU optimization), building hybrid RAG systems with Azure AI Search, and orchestrating flows using Azure AI Foundry and Semantic Kernel
GCP Stack: Scaling applications within Vertex AI, managing production pipelines, structuring enterprise RAG with Vertex AI Vector Search + BigQuery, and building agentic flows with Gemini APIs
Exposure to LLM evaluation, observability, monitoring, guardrails, or LLMOps

The FDE Mindset

Strong customer-facing communication and sharp problem-solving instincts
Comfortable operating independently, navigating ambiguity, and moving fast from problem → solution → production
Equally at home with business and technical stakeholders

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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More about this job

Responsibilities

Partner with clients to translate complex business challenges into production-grade generative AI and agentic AI solutions, owning the process from initial discovery through deployment. Build, integrate, deploy, and optimize LLM applications, RAG systems, and AI agents in enterprise cloud environments, collaborating with technical teams and client stakeholders.

Requirements

Requires 7+ years of software, application, ML, or AI engineering experience, strong Python skills, and a solid foundation in APIs, system design, databases, cloud-native applications, and production deployments. Candidates should have hands-on experience delivering GenAI or agentic AI solutions, including LLMs, RAG, vector databases, agents, orchestration, and at least one major cloud platform.

Skills

Python
Generative AI
Agentic AI
Large Language Models
Retrieval-Augmented Generation
Vector Databases
AI Agents
Multi-Agent Systems
LangGraph
LangChain
LlamaIndex
Cloud Computing
System Design
API Integration
Production Deployment
Client Communication

Visa sponsorship

Not detected in the job text

Keywords

Forward Deployed Engineering
Generative AI
Agentic AI
Python
JavaScript
TypeScript
Large Language Models
OpenAI
Anthropic Claude
Google Gemini
Retrieval-Augmented Generation
Vector Databases
Embeddings
Tool Calling
Function Calling
AI Agents
Multi-Agent Workflows
LangGraph
LangChain
LlamaIndex
Google ADK
Model Context Protocol
Agent-to-Agent Protocol
AWS
Amazon Bedrock
OpenSearch Serverless
Azure OpenAI Service
Azure AI Search
Google Cloud Vertex AI

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