Jobs in Mississauga, ON and nearby

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

80,263 listings · 10,210 employers Counted Nov 1, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (1,322 listings), Shoppers Drug Mart (1,278 listings), S M Software Solutions Inc (962 listings).

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

13,233 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	6,995
CAD / hour	30.00	5,217
USD / year	115,000.00	406
USD / hour	30.00	256
CAD / month	6,000.00	23
CAD / week	2,914.00	18

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 Mississauga, ON and nearby

Within 25 km

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Added 1 day ago
PC
Payroll Associate (Contract)
Pwc Canada
Toronto, ON
- Full-time
Added 1 day ago
S-
Seasonal Part Time Sales Associate
Showcase - Home of the Hottest Trends
Mississauga, ON
- Part-time
Added 1 day ago
I-
Sr. Business Analyst and Change Management
I8IS - Infiniti Software Solutions
Toronto, ON
- Full-time
Added 1 day ago
ML
Sourcing Buyer
Maple Leaf Foods Inc
Mississauga, ON
- $71,000 to $103,000 CAD / year
- Part-time
Added 1 day ago
ML
General Labour
Maple Leaf Foods Inc
Toronto, ON
- Full-time
Added 1 day ago
ML
Millwright
Maple Leaf Foods Inc
Mississauga, ON
- Internship
Added 1 day ago
LI
Systems Testing/QA Specialist
Lotus IT Solutions
Toronto, ON
- Contract
Added 1 day ago
LI
Software Developer
Lotus IT Solutions
Toronto, ON
- Contract
Added 1 day ago
LI
Software Developer - API
Lotus IT Solutions
Toronto, ON
- Contract
Added 1 day ago
LI
Middleware Specialist
Lotus IT Solutions
Toronto, ON
- Contract
Added 1 day ago
SR
Physiotherapist
Success Rehab Clinic
Toronto, ON
- Part-time
Added 1 day ago
LI
Software Developer - Back End
Lotus IT Solutions
Toronto, ON
- Contract
Added 1 day ago
G
Dispatcher
GOFO
Toronto, ON
- Full-time
Added 1 day ago
OT
Principal Systems Architect (Copilot Architect)
Open Text Corporation
Mississauga, ON
- Other
Added 1 day ago
M
Toronto Health Office Practice Leader
Mercer
Toronto, ON
- Other
Added 1 day ago
MC
Oracle EPM Analyst
MMC Corporate
Toronto, ON
- Other
Added 1 day ago
D(
HR Advisor – Fixed-Term Until July 2028
DWF (Canada)
Toronto, ON
- Full-time
Added 1 day ago
KD
Customer Accounts Specialist
Keurig Dr Pepper
Mississauga, ON
- $57,100 to $70,000 CAD / year
- Full-time
Added 1 day ago
S
Asset Protection Partner
sephora.com
Toronto, ON
- $25 to $30 CAD / hour
- Full-time
Added 1 day ago
Retail Sales Associate Part Time
Tailored Brands
Mississauga, ON
Added 1 day ago
LC
Cashier Part Time Day Greenlight Requisition
Loblaw Companies Limited
Toronto, ON
- Part-time
Added 1 day ago
CL
Senior Interior Designer
Clarisa Llaneza Studio
Toronto, ON
- Full-time
Added 1 day ago
MG
Unit Clerk II (Inpatient Surgery)
Michael Garron Hospital
Toronto, ON
- Part-time
Added 1 day ago
PC
Resourcing and Deployment Manager, Deals
PwC Canada
Toronto, ON
- Full-time
Added 1 day ago
IG
Back Office Agent
Insight Global
Mississauga, ON
- Contract

Tiger Analytics

Forward Deployed Engineer (FDE) - GenAI / Agentic AI

Toronto, ON, Canada

Full-time

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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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