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Added 1 min ago
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Senior Software Engineer (Hybrid / Montreal)
Motion
Montreal, QC
- Full-time
| Our tech stack: React, Node.js with Express, TypeScript, GraphQL, PostgreSQL, MongoDB, and Azure.
Added 2 mins ago
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Développeur(euse) logiciel / Software Developer - Clearance
Genetec
Montreal, QC
- Full-time
Connaissance d'un environnement infonuagique et de ses défis sera considéré un atout (Azure, AWS, GCP)
Added 2 mins ago
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Chief Growth Officer
TechBlocks
Vaughan, ON
- Full-time
Almost everything we do is custom product and platform development on Azure, AWS and Google Cloud - not package configuration, not managed services, not ticket queues.
Added 2 mins ago
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Senior Architect
Hays
Toronto, ON
- $80 to $90 CAD / hour
- Contract
We are seeking an experienced Azure AI Architect to lead the design and architecture of enterprise-scale Artificial Intelligence (AI) and Generative AI solutions on Microsoft Azure. This…
Added 2 mins ago
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Cloud Architect
Hays
Toronto, ON
- Contract
We are seeking a Senior Azure AI Architect to lead the architecture and design of enterprise-scale AI and Generative AI solutions on Microsoft Azure.
Added 2 mins ago
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System Engineer
MCAP
Cambridge, ON · Greater Kitchener-Cambridge-Waterloo Metropolitan Area
- Full-time
Added 2 mins ago
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Systems Engineer
MCAP
Waterloo, ON
- Full-time
Automation & DevOps: Azure DevOps Pipelines, Ansible, Terraform, Git.
Added 17 mins ago
AS
Data & Analytics Solutions Architect
Apex Systems
Mississauga, ON
- $45 to $50 USD / hour
- Contract
Experience designing solutions across cloud data platforms such as Azure, Snowflake, Databricks, Microsoft Fabric, or similar technologies.
Added 17 mins ago
AS
Lead FinOps Analyst: Cloud, Network & Infrastructure
Apex Systems
Mississauga, ON
- $100 to $101 USD / hour
- Contract
Experience with commitment-based discounts such as AWS Reserved Instances and Savings Plans, Azure Reservations, or negotiated vendor commitments.
Added 17 mins ago
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Salesforce Architect- FSC
Delpath
Toronto, ON
- Contract
4. Knowledge of deployment processes and release pipelines primarily leveraging Bitbucket, Azure DevOps
Added 17 mins ago
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Senior Software Developer – Java
BITS Recruiting
Toronto, ON
- $95 to $96 CAD / hour
- Contract
We are seeking an experienced Senior Software Developer to join a large-scale enterprise application development project. The ideal candidate will have extensive hands-on Java development…
Added 17 mins ago
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DevSecOps Engineer
Aviso
Vancouver, BC
- $120,000 to $130,000 CAD / year
- Full-time
…on BAU activities - including CI/CD pipeline maintenance and Azure DevOps administration - and supporting alignment and enablement across our…
Added 17 mins ago
ML
IT Security Consultant
Maple Leaf Foods Inc
Mississauga, ON
- $96,000 to $141,000 CAD / year
- Part-time
Technical hands-on experience implementing Cloud security solutions and controls on Azure, AWS, or similar cloud service provider.
Added 31 mins ago
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Director, Data Enablement
PwC
Toronto, ON
- Full-time
Added 46 mins ago
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Senior DevOps Developer
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
- Full-time
Boeing Vancouver is seeking a Senior DevOps Developer - within the Boeing Digital Services portfolio, reporting to the Manager of Software Development. This position is based in our…
Added 46 mins ago
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AI Development Manager
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
- Full-time
Experience with cloud computing and hosted cloud services, such as Azure, AWS or GCP, particularly Azure Databricks.
Added 46 mins ago
SH
Manager, Analytics, Revenue, and Software Development
Scarborough Health Network
EO Head Office
- Full-time
Experience with Microsoft Fabric, Power BI, Azure or similar cloud data platforms is an asset
Added 46 mins ago
Senior Analyst, Identity Lifecycle Management
Scotiabank
Toronto, ON
Microsoft Azure\Entra platform experience is an asset
Added 47 mins ago
CL
Sr Cloud Network Engineer
Charger Logistics Inc.
Brampton, ON
- Contract
Design, build and manage cloud networks (VPCs/VNets, subnets, routing, peering) across GCP, Azure and AWS.
Added 47 mins ago
BR
Senior Systems Testing / QA Specialist – ETL & Data
BITS Recruiting
Toronto, ON
- $70 to $73 CAD / hour
- Contract
Added 47 mins ago
PC
Full Stack Developer (Backend-Focused)
Parabellyx Cybersecurity
Richmond Hill, ON
- Full-time
About the roleParabellyx Cybersecurity is hiring a mid-to-senior Full Stack Developer, weighted toward the backend, to build and run the data and scanning engine behind Luma. You will own…
Added 47 mins ago
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Cyber Security Engineer
Remitra
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Familiarity with AWS, Microsoft Azure or Google Cloud.
Added 47 mins ago
RS
Application Analyst - C / Sybase
Radiant Systems Solutions, Inc
AB · Edmonton, AB
- Contract
All contracted resources must utilize a computer with a modern version of Windows or macOS compatible with Azure Virtual Desktop (AVD) and related remote-access software. Windows is…
Added 47 mins ago
EI
Delivery Lead
Enercare Inc.
Markham, ON
- Full-time
Cloud-savvy, with knowledge of platforms like Azure & AWS.
Added 47 mins ago
GT
UNIX Midrange Support
Global Technical Talent, an Inc. 5000 Company
Regina, SK
- $50 to $70 CAD / hour
- Contract
…support, as well as hands-on experience in Microsoft Server and Azure environments. This role is responsible for supporting, maintaining, and securing server infrastructure across Unix and…

Saransh Inc

Applied AI Engineer - Canada

Montreal, QC, Canada

Contract

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Job details

Job type: Contract
Apply by: Apr 28, 2027
Posting language: English
Posted: Oct 30, 2026

Original job description

Applied AI-Engineer Montreal (Canada)

Role Overview And Expectations

Applied AI engineers are hands-on developers who work collaboratively with business and technology teams to accelerate the implementation of Generative AI use cases across Morgan Stanley. Team members participate in discovery discussions, build and test prototypes, integrate AI capabilities with existing applications, and provide practical implementation support to sponsoring application development teams. Success in this role requires solid software engineering fundamentals, practical experience with AI application development, strong problem-solving skills, and the ability to communicate clearly and work effectively across teams.

Required Qualifications

3 to 5 years of software engineering experience with hands-on application development responsibilities.
1 to 3 years of practical experience developing Generative AI applications, AI assistants, AI agents, copilots, or intelligent automation solutions.
Proficiency in Python and experience building APIs, integrations, and enterprise applications.
Working knowledge of Large Language Models (LLMs), prompt engineering, embeddings, vector databases, semantic search, Retrieval-Augmented Generation (RAG), and common AI application patterns.
Hands-on experience with one or more AI development frameworks, such as LangGraph, LangChain, , Claude Code SDK, OpenAI SDK, or similar technologies.
Familiarity with Model Context Protocol (MCP), AI gateways, agent-to-agent communication, or tool-calling frameworks.
Experience implementing AI agents, orchestration workflows, tool integrations, or agentic applications.
Experience building proofs of concept, prototypes, or reference implementations.
Experience integrating applications with enterprise systems, data platforms, and APIs.
Familiarity with automated testing and evaluation approaches for AI solution quality, safety, reliability, and performance.
Awareness of Responsible AI principles, AI governance, security controls, and enterprise data protection requirements.
Experience with GitHub, CI/CD pipelines, containers, and modern software engineering practices.
Familiarity with Azure or AWS services used to host and operate applications and AI workloads.
Ability to work with business stakeholders and application development teams to translate requirements into working software.
Strong communication, collaboration, and problem-solving skills.

Preferred Qualifications

Experience with Azure AI Foundry, AWS Bedrock, Anthropic Claude, OpenAI GPT models, SpaceX Grok Models, Gemini, or similar enterprise AI platforms.
Experience building RAG solutions, knowledge assistants, or AI-powered search capabilities.
Exposure to multi-agent systems and agent orchestration workflows.
Experience integrating applications with ServiceNow, Jira, Confluence, SharePoint, Microsoft Graph, Databricks, Snowflake, or similar enterprise platforms.
Familiarity with Kubernetes, containerized application deployment, and cloud-native architectures.
Experience working in financial services or another regulated industry.

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More about this job

Responsibilities

Collaborate with business and technology teams to discover Generative AI use cases, build and test prototypes, and integrate AI capabilities into existing applications. Provide practical implementation support to application development teams and help deliver AI agents, orchestration workflows, and enterprise integrations.

Requirements

Requires 3–5 years of software engineering experience and 1–3 years of practical Generative AI application development experience, including proficiency in Python and enterprise application integrations. Candidates should understand LLMs, RAG, AI frameworks and agents, testing and evaluation, Responsible AI, modern software practices, and cloud platforms, with strong communication and collaboration skills.

Skills

Python
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Semantic Search
AI Agents
LangGraph
LangChain
API Development
Enterprise Integrations
AI Evaluation
Responsible AI
CI/CD
Azure

Visa sponsorship

Not detected in the job text

Keywords

Python
Generative AI
Large Language Models
Prompt Engineering
Embeddings
Vector Databases
Semantic Search
Retrieval-Augmented Generation
LangGraph
LangChain
Claude Code SDK
OpenAI SDK
Model Context Protocol
AI Gateways
Agent-to-Agent Communication
AI Agents
Agent Orchestration
APIs
Enterprise Applications
Automated Testing
AI Evaluation
Responsible AI
AI Governance
GitHub
CI/CD
Containers
Azure
AWS
Azure AI Foundry
AWS Bedrock

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