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Added 33 mins ago
CC
Manager, Constraints Governance & Process Engineering
Connor, Clark & Lunn Financial Group (CC&L)
Toronto, ON
- Full-time
Design and implement reporting solutions using Power BI and the Microsoft Power Platform that provide visibility into key performance indicators, operational metrics, capacity management,…
Added 1 hour ago
M
Critical Environment Technician
Microsoft
Toronto, ON
- Full-time
Microsoft’s Cloud Operations & Innovation (CO+I) is the engine that powers our cloud services. As a CO+I Critical Environment Technician, you will perform a key role in delivering the core…
Added 1 hour ago
IW
Manager Compliance Tier 1
IG Wealth Management
Quebec, QC
- Full-time
…resolution on either the investment dealer or mutual fund dealer platform, and or…
Added 2 hours ago
S
Senior Transport Economist
SYSTRA
Montreal, QC
- Full-time
Excellent command of Microsoft Office, particularly advanced Excel; knowledge of specialized analytical tools, asset databases, or asset management environments would be considered an asset.
Added 2 hours ago
SM
RQ11713 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with extensive experience in Microsoft Azure data technologies, Amazon Web Services (AWS), ETL development, data integration, data…
Added 2 hours ago
SM
RQ11713 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with extensive experience in Microsoft Azure data technologies, Amazon Web Services (AWS), ETL development, data integration, data…
Added 2 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – CRM with strong hands-on experience in Microsoft Dynamics 365, Power Platform, Azure, and Dataverse, along with proven Technical Lead…
Added 2 hours ago
SM
RQ11491 - Product Manager - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…transformation, Agile delivery, enterprise architecture, and Microsoft technologies. The ideal candidate will have proven experience leading enterprise-scale digital products, managing…
Added 2 hours ago
SM
RQ11491 - Product Manager - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…transformation, Agile delivery, enterprise architecture, and Microsoft technologies. The ideal candidate will have proven experience leading enterprise-scale digital products, managing…
Added 2 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – CRM with strong hands-on experience in Microsoft Dynamics 365, Power Platform, Azure, and Dataverse, along with proven Technical Lead…
Added 5 hours ago
LS
Senior Computer Application Support - Contract - 19497
LRO Staffing
Ottawa, ON
- Contract
…advisory, and operational support for SharePoint Online and related Microsoft 365…
Added 5 hours ago
MG
Technical Analyst, Database
Michael Garron Hospital
Toronto, ON
- Full-time
Virtualization platform (VMWare, Hyper-V, and Citrix preferred)
Added 5 hours ago
CT
Analyst, Data Governance
Canadian Tire Corporation
Oakville, ON
- Full-time
Advanced knowledge of Microsoft Visio, PowerPoint, and Excel.
Added 5 hours ago
OI
ECE Instructor
Oxford International
Halifax, NS
- $59,280 CAD / year
- Full-time
Ensure execution and quality of classes in compliance with ECE curriculum and our online platform
Added 6 hours ago
R
Senior Security Specialist - Cloud (Global Security)
RBC
Toronto, ON
- Full-time
Work as part of the team assessing and improving the security of our public cloud environments (Amazon Web Services, Microsoft Azure, and Google Cloud Platform).
Added 6 hours ago
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Business Insights Analyst II
TD
Markham, ON · Toronto, ON · Montreal, QC
- Full-time
Proficiency in Microsoft PowerPoint and Excel.
Added 6 hours ago
T
Tooling SME, Product Delivery & Transformation
TD
Toronto, ON
- Full-time
Build and maintain reporting dashboards and analytics using Microsoft Suite and other data tools to support delivery visibility, capacity planning, and decision making
Added 7 hours ago
C
Sr. Consultant, Solution Design and Strategy-Payments
CIBC
Toronto, ON
- Full-time
Enterprise Wires Modernization (EWM) is a multi-year program that will implement a new modernized wire payment platform in several phases and workstreams. As Solution Consultant for EWM,…
Added 7 hours ago
Integration Developer
Mariner
Halifax, NS
Knowledge of cloud platforms such as Microsoft Azure or AWS.
Added 8 hours ago
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ServiceNow Developer
BMO
Toronto, ON · YNG
- Full-time
In addition to hands-on development and technical solution design, the Senior ServiceNow Developer will provide technical leadership, mentorship, coaching, and day-to-day guidance to two…
Added 8 hours ago
M
People Services AI Solutions & Configuration Lead
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Working at the intersection of HR technology, AI innovation, employee experience, and platform capability, you will evaluate emerging technologies, translate business needs into scalable…
Added 8 hours ago
A
Devops Engineer
Actalent
Saskatoon, SK
- $55 to $65 CAD / hour
- Contract
Added 8 hours ago
A
Devops Engineer
Actalent
Montreal, QC
- $55 to $65 CAD / hour
- Contract
Added 8 hours ago
A
Devops Engineer
Actalent
Ottawa, ON
- $55 to $65 CAD / hour
- Contract
Added 8 hours ago
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Devops Engineer
Actalent
Calgary, AB
- $55 to $65 CAD / hour
- Contract

Randstad Enterprise

Applied AI Engineer

Montreal, QC, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Job Title: Applied AI Engineer

Position Summary

The Applied AI Engineer will work with business and technology teams to develop and implement Generative AI solutions. This is a hands-on engineering role focused on building prototypes, implementing AI capabilities, integrating enterprise systems, and creating reusable components that accelerate delivery. The successful candidate will work with internal clients to understand use cases, develop practical solutions, and support application teams as they move AI capabilities toward production using enterprise AI platforms and services. The ideal candidate is a capable software engineer with practical experience building Generative AI applications, a willingness to learn emerging technologies, and the ability to collaborate effectively with business and technology partners.

Key Responsibilities

Work with business and technology stakeholders to understand Generative AI use cases and translate requirements into practical implementations.
Develop proofs of concept, prototypes, and reference applications that demonstrate business value and accelerate AI adoption.
Build and enhance AI-powered applications, copilots, assistants, and agentic workflows using Morgan Stanley’s enterprise AI platforms and services.
Implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories, vector databases, embeddings, semantic search, and retrieval techniques.
Develop AI agents and orchestration workflows using frameworks such as LangGraph, LangChain, Semantic Kernel, Claude Code SDK, OpenAI SDK, or similar technologies.
Implement prompt engineering techniques, structured outputs, tool calling, context management, and workflow orchestration patterns.
Build APIs, connectors, and integrations between AI applications and enterprise systems, data platforms, and business workflows.
Create reusable components, templates, implementation patterns, and developer examples that help application teams deliver AI solutions more efficiently.
Develop automated tests and evaluation capabilities to measure solution quality, grounding, reliability, safety, and performance.
Troubleshoot implementation issues and support application teams as prototypes and reference solutions transition toward production.
Collaborate with firmwide AI platform teams to use foundational AI capabilities and follow enterprise engineering, security, governance, and Responsible AI standards.
Stay current with emerging AI technologies and apply relevant tools and techniques to business use cases.

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

Develop and integrate Generative AI applications, copilots, agents, and RAG solutions using enterprise platforms, APIs, and business systems. Create reusable implementation components, test and evaluate solution quality and safety, and collaborate with stakeholders and platform teams to support prototypes as they move toward production.

Requirements

Requires 3–5 years of software engineering experience and 1–3 years of hands-on Generative AI application development, with proficiency in Python, APIs, AI frameworks, and common LLM and RAG patterns. Candidates should also have experience with agent workflows, enterprise integrations, testing and evaluation, cloud services, CI/CD, and awareness of Responsible AI, security, and governance.

Skills

Python
Generative AI
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Embeddings
Semantic Search
AI Agents
LangGraph
LangChain
API Development
Enterprise Integrations
Automated Testing
CI/CD
Cloud Services

Visa sponsorship

Not detected in the job text

Keywords

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

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