Jobs in Canada

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Added 1 month ago
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Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 1 month ago
CG
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar Group
Toronto, ON
- $140,000 to $170,000 CAD / year
- Full-time
Added 1 month ago
AI Engineer
NetBrain
Toronto, ON
Must have delivered at least one LLM-powered feature end-to-end and owned its ongoing operation and
Added 1 month ago
Actuarial Consultant - Alberta Auto Pricing
Wawanesa Insurance
Toronto, ON · Winnipeg, MB · Wawanesa, MB · Moncton, NB · Thunder Bay, ON · Ottawa, ON · Kitchener, ON · Montreal, QC · Vancouver, BC · Lloydminster, AB · Dartmouth, NS · Edmonton, AB · Calgary, AB · Lethbridge, AB · North York - Toronto, ON (Hybr, ON
As an Actuarial Consultant (Personal Lines Pricing – Alberta Auto), you’ll take a lead role in the auto pricing analysis for the Alberta region, working with a high degree of autonomy. This…
Added 1 month ago
Lead Data Engineering and Analytics with Axiom
Scotiabank
Toronto, ON
Excellent understanding of developer life cycle and enterprise developer tools
Added 1 month ago
RF
Rigging Lead - Permanent
Rodeo FX
Montreal, QC
- Full-time
The 3D Rigging Lead designs advanced rigs for characters, creatures, vehicles, and objects, while supervising a team of rigging artists within the project. They act as a technical and…
Added 1 month ago
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Part-Time Internship - Asset Management Analyst (Students and New Grads)
BGIS
Markham, ON
- Part-time
The Asset Management Analyst (Intern) plays a major lead role in designing and building BGIS’s building data collection system. The system is designed for collecting environmental,…
Added 1 month ago
WI
Actuarial Consultant - Alberta Auto Pricing
Wawanesa Insurance
Calgary, AB
- Other
As an Actuarial Consultant (Personal Lines Pricing – Alberta Auto), you’ll take a lead role in the auto pricing analysis for the Alberta region, working with a high degree of autonomy. This…
Added 1 month ago
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C ++ Developer
Sapsol Technologies Inc
Remote, Canada
- Remote
We are seeking a highly experienced Senior Systems Engineer - C/C++ Full Stack Developer to lead a strategic modernization initiative for a mission-critical Store Management System that has…
Added 1 month ago
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Consultant, Technical Solutions
Grantek Systems Integration
Burlington, ON
- Full-time
Lead hands-on implementation using Ignition, Sepasoft MES modules, MQTT brokers, and related platform technologies
Added 1 month ago
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Staff Software Engineer
VGS
Canada
- Full-time
Architect Agentic Payment Infrastructure: Lead the design and evolution of Python 3.13+ and FastAPI services powering secure, production-critical agentic payment flows.
Added 1 month ago
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MONTREAL [HYBRID] - DevOps/SRE Senior
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC
- Full-time
- Proficiency in Linux, Bash, Python, Jenkins, Git, a
Added 1 month ago
Actuarial Manager, GCS Pricing
Aviva
Markham, ON
…techniques and using the latest technologies for all GCS risks. Lead the development and implementation of pricing…
Added 1 month ago
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Java Software Developer
ZAPCOM GROUP INC
Toronto, ON
- Full-time
Backend development using Java/Spring Boot or Python (Django/FastAPI/Flask)
Added 1 month ago
GL
Senior IT Risk Analyst
goeasy Ltd.
Mississauga, ON
- Full-time
Lead or support compliance initiatives including PCI DSS, SOC 2, SOX/Bill 198, and other security frameworks and standards.
Added 2 months ago
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Head of Character Effects (CFX) - Netflix Animation Studios
Netflix
Vancouver, BC
- Full-time
Lead and supervise Character Effects across the show, from look development to final shot delivery
Added 1 month ago
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Senior Cyber Defence Analyst
nesto
Canada
- Full-time
Lead triage-to-remediation on critical/high investigations
Added 1 month ago
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Agentic AI Researcher
LG Electronics
Toronto, ON
- Full-time
Work Arrangement: Hybrid: 3 Days per Week On-Site
Added 1 month ago
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Price, Promotion & Trade Analyst
LG Electronics
Toronto, ON
- Full-time
Work Arrangement: Hybrid: 4 Days per Week On-Site
Added 1 month ago
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BI Developer - 1 Year Contract
LG Electronics
Toronto, ON
- Contract
Work Arrangement: Hybrid: 4 Days per Week On-Site
Added 2 months ago
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AI Pre-Sales Consultant
Thinkpivot
Toronto, ON
- Full-time
AWS Certification: Must hold a valid AWS Certified Solutions Architect (Associate or Professional)
Added 1 month ago
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Fuse Validation Lead
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Lead Automation efforts to help optimize fuse infrastructure and validation methodologies
Added 1 month ago
EC
Développeur(euse) Full Stack Sénior / Senior Full Stack Developer
Eaton Corporation
Brossard, QC
- Full-time
Expérience avec d’autres langages de programmation : C++ et Python.
Added 1 month ago
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Responsable - Plateforme IA (Lead AI Platform Engineer)
CGI
Montreal, QC
- Full-time
In this context, the PSC is creating a new Lead AI Platform Engineer position. The role will be responsible for structuring and evolving our AI capabilities, both on-premises and in the…
Added 1 month ago
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Technical Project Manager (Generative AI)
LTM
ON · Ontario, Canada
- $100,000 to $130,000 CAD / year
- Full-time
We are seeking an experienced Technical Project Manager to lead the delivery of enterprise scale applications built using modern cloudnative technologies and Generative AI frameworks The…

Thinkpivot

AI Pre-Sales Consultant

Toronto, ON, Canada

Full-time

Apply on thinkpivot.zohorecruit.com About employer

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Job details

Job type: Full-time
Posting language: English
Posted: Sep 11, 2026

Original job description

Role Summary

We are looking for a hands-on AI Architect who can code, architect, and deploy. You must be able to take a concept from a whiteboard to a working Proof of Concept independently. This role combines deep AWS Cloud Architecture expertise with modern Agentic AI patterns to build autonomous systems that solve real business problems.

You will work directly with clients across retail, financial services, healthcare, and manufacturing, translating their business challenges into working AI solutions. You will also play a key role in growing the team by technically vetting and onboarding future engineers.

Core Responsibilities

Hands-On Agentic AI Development

You will build PoCs independently without relying on a dev team for the initial build. This means designing and coding AI Agents using AWS Bedrock and frameworks like LangChain or LangGraph, implementing reasoning, planning, and memory modules. You will configure LLMs to interact with external APIs, databases, and enterprise software to execute real-world tasks. Our clients expect working demonstrations, not slide decks.

AWS Cloud Architecture (PaaS Focus)

You will design scalable infrastructure using AWS PaaS services including Lambda, Fargate, API Gateway, EventBridge, and Step Functions. You will select and optimize Foundation Models via Amazon Bedrock or SageMaker based on cost, latency, and performance requirements. All architectures must meet strict security, compliance, and cost-optimization standards.

Client Delivery & Solution Design

You will participate in AI Discovery engagements to identify high-value opportunities within client organizations. You will translate business requirements into technical architectures that align with our outcome-driven methodology. You will work alongside our AI Strategy and Implementation teams to deliver end-to-end solutions.

Team Building & Technical Leadership

You will lead technical interviewing, selection, and onboarding for new hires within the AI workstream. You will define technical standards and coding guidelines for our growing AI/ML team. You will contribute to knowledge transfer initiatives, building client capabilities rather than dependencies.

Multi-Cloud & Integration

You will integrate AI services into existing enterprise workflows and data pipelines. You will maintain operational knowledge of Azure and GCP to support client-specific multi-cloud requirements.

What You Will Work On

Solutions across several domains. Here are examples of the types of projects you would contribute to:

Building multi-agent systems that reduce manual decision-making by 30% and improve response times by 40%.
Implementing AI-driven quality monitoring for manufacturing clients that reduces batch rejections by 25%.
Developing hyper-personalization engines for retail clients that increase digital conversion rates by 20-27%.
Creating data pipelines and AI infrastructure that enable new AI initiatives while reducing data preparation time by 60%.

Requirements

Must-Have Qualifications

AWS Certification: Must hold a valid AWS Certified Solutions Architect (Associate or Professional).
Hands-On Coding: Strong proficiency in Python. You must be comfortable writing production-grade code, not just managing configurations or reviewing pull requests.
Cloud Background: Strong foundation in traditional Cloud Architecture including networking, IAM, and serverless patterns. We expect you to have built cloud infrastructure before moving into AI.
AI Stack: Proven experience with Amazon Bedrock, SageMaker, and Vector Databases such as Pinecone or OpenSearch.
Agentic Experience: Demonstrated ability to build Agents that utilize tools and function calling. We are not looking for people who have only built simple chatbots.
Consulting Mindset: Ability to communicate technical concepts to business stakeholders and translate business problems into technical solutions.

Nice-to-Have Qualifications

Data Background: High-level understanding of Data Warehouses (Snowflake, Redshift) and Data Lakes to understand data lineage and retrieval strategies. This helps when working with our Data Foundation services.
DevOps: Experience with CI/CD pipelines and Infrastructure as Code using Terraform or CDK.
RAG Implementation: Experience building production RAG systems with enterprise document collections.
MLOps: Familiarity with MLflow, Kubeflow, or Weights & Biases for model lifecycle management.

Apply on thinkpivot.zohorecruit.com About employer

More about this job

Responsibilities

You will independently design, code, and deploy autonomous AI agents and scalable cloud infrastructure using AWS services. Additionally, you will lead technical interviews, define coding standards, and translate complex business challenges into effective AI solutions for clients.

Requirements

Candidates must hold an AWS Certified Solutions Architect certification and possess strong proficiency in Python and cloud infrastructure. Proven experience in building agentic AI systems and a consulting mindset are essential for this role.

Skills

Python
AWS
Agentic AI
LangChain
LangGraph
Amazon Bedrock
SageMaker
Cloud Architecture
Vector Databases
Pinecone
OpenSearch
Serverless
API Gateway
Lambda
Consulting
Solution Design

Visa sponsorship

Not detected in the job text

Keywords

AI Architect
AWS
Python
Agentic AI
LangChain
LangGraph
Amazon Bedrock
SageMaker
Serverless
Lambda
Fargate
API Gateway
EventBridge
Step Functions
Vector Databases
Pinecone
OpenSearch
Cloud Architecture
Consulting
Data Pipelines
Multi-cloud
Azure
GCP
Snowflake
Redshift
Terraform
CDK
RAG
MLOps
Kubeflow

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Work requirements

Jobs in Canada