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Added 12 mins ago
Systems Administrator-GCGCON
Great Canadian Entertainment
Toronto, ON
…platforms, cloud services, storage, Active Directory, Microsoft Azure and Microsoft 365, endpoint management platforms, security tools, and virtual desktop…
Added 26 mins ago
AM
Senior Source Control Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…at scale, such as GitHub Enterprise, GitLab, Bitbucket, or Azure…
Added 27 mins ago
HI
Intermediate Data Analyst
HRbrain Inc.
Toronto, ON
- Full-time
Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
Added 27 mins ago
B
AI Software Engineer
Bombardier
Dorval, QC
- Full-time
Proven experience with cloud platforms, with preference to Microsoft Azure, particularly tools like Azure Databricks, AML, AI Foundry, App Services, AKS, Blob Storage, etc.
Added 27 mins ago
SC
Développeur Python IA (Senior)
SII Canada
Montreal, QC
- Full-time
Maîtrise des plateformes Cloud telles qu’AWS SageMaker, Azure ML ou GCP Vertex AI
Added 27 mins ago
TC
Sr BizTalk Developer
Tata Consultancy Services
Mississauga, ON
- $90,000 to $110,000 CAD / year
- Full-time
We are seeking an experienced Senior BizTalk Developer to design, develop, maintain, and support enterprise integration solutions using Microsoft BizTalk Server. The role requires strong…
Added 27 mins ago
IS
Tier 2 I.T. Administrator
IMP Solutions
Halifax, NS
- Full-time
Provide administration and troubleshooting support for Office 365 and Microsoft Azure environments
Added 27 mins ago
S
Databricks Partner Solutions Leader
Slalom
Calgary, AB
- Full-time
Cloud Platform Knowledge: Experience with AWS, Azure, or GCP data services, including storage, networking, identity and access management, databases, compute, and security controls.
Added 27 mins ago
SP
Software Engineering SMTS
Salesforce Partner Canada
Vancouver, BC
- Full-time
Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms such as AWS, GCP, Azure, or Alibaba
Added 41 mins ago
IF
Senior Developer
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
…clients feel confident and secure about their future? As a Senior Developer, you will contribute within a System Team to evolving the technological foundations and practices that support…
Added 41 mins ago
KA
Analytics Engineer
Krux Analytics
Calgary, AB
- Full-time
10+ years of experience as a data analytics developer or engineer
Added 41 mins ago
M
Manager Engineering
Manulife
Waterloo, ON
- Full-time
Familiarity with modern technology stacks and platforms, including Node.js, React, TypeScript, Azure Kubernetes Service (AKS), Docker, Bruno, Redis, MongoDB, REST APIs, GitHub, Jenkins,…
Added 41 mins ago
CH
Senior Data Warehouse Developer
Calgary Homeless Foundation
Calgary, AB
- Full-time
Reporting to the Manager, Data Analytics & Business Intelligence, the Senior Data Warehouse Developer is responsible for developing and optimising CHF’s Data Warehouse, and associated…
Added 41 mins ago
C
Cloud Expert
Computronix
AB
- Full-time
PC3 is the cloud platform behind solutions our clients depend on. The team works across Azure infrastructure, Kubernetes, infrastructure as code, deployment automation, networking,…
Added 56 mins ago
F
Salesforce Technical Lead
Finning
Surrey, BC
- Full-time
Added 56 mins ago
Senior Software Developer
Scotiabank
Toronto, ON
We are looking for a highly skilled and experienced Senior Software Developer to join our dynamic team. In this role, you will work across multiple applications and projects, contributing…
Added 56 mins ago
Lead Full Stack Engineer
Scotiabank
Toronto, ON
Apply your development experience to deliver microservices in the cloud (Google Cloud, Microsoft Azure)
Added 56 mins ago
JH
AI/ML Engineer
JAVA Holdings Ltd.
Remote, Canada
- Full-time
- Remote
Familiarity with cloud AI platforms, preferably Microsoft Azure, Azure OpenAI or comparable services
Added 1 hour ago
Senior Specialist, Cloud Infrastructure Operations Engineering
CMHC - SCHL
Ottawa, ON · Toronto, ON · Montreal, QC
Participate in solution design in collaboration with the Enterprise Architecture team and deploy, configure, and maintain cloud resources (compute, storage, networking) across Azure.
Added 1 hour ago
B
Intermediate React Developer
BeachHead
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Working with one of our top financial clients, this role calls for an Intermediate React Developer to build application components within a pro-code development environment. The successful…
Added 1 hour ago
RT
Product Manager
Russell Tobin
Toronto, ON
- $80 to $85 CAD / hour
- Contract
Basic Knowledge in Microsoft Azure cloud platform
Added 1 hour ago
TI
Containerization Security Engineer
Themesoft Inc.
Toronto, ON
- Contract
Added 1 hour ago
US
Software Engineer (Core Java, Market Risk)
United Software Group Inc
Montreal, QC
- Contract
Added 1 hour ago
A
Project Manager/Leader - Senior
Akkodis
Toronto, ON
- Contract
Experience working on Microsoft Azure cloud platform with RHEL/Windows OS and Oracle Database
Added 1 hour ago
CH
Senior Data Warehouse Developer
Calgary Homeless Foundation
Calgary, AB
- Full-time
Reporting to the Manager, Data Analytics & Business Intelligence, the Senior Data Warehouse Developer is responsible for developing and optimising CHF’s Data Warehouse, and associated…

Java Holdings Ltd

AI/ML Engineer

AB, Canada
Edmonton, AB, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: May 2, 2027
Experience: 3-5 years of relevant experience in software engineering, AI/ML engineering or applied AI development
Posting language: English
Posted: Nov 3, 2026

Original job description

Position Summary

The AI/ML Engineer will design, develop, integrate and deploy AI and machine learning solutions that improve business processes, operational efficiency and decision-making across the enterprise.

The role focuses on generative AI, large language models (LLMs), retrieval-augmented generation (RAG), AI agents, workflow automation, predictive analytics and production AI operations. The successful candidate will collaborate with business stakeholders, Systems Development and IT to deliver secure, scalable and maintainable solutions using Microsoft technologies, third-party AI platforms and open-source tools.

Key Responsibilities

Design and develop AI applications, LLM-powered solutions, RAG systems and AI agents
Build intelligent workflows and integrate AI capabilities with enterprise applications, APIs and data sources
Liaise with the data and analytics team to develop data pipelines and prepare structured and unstructured data for AI and machine learning applications
Develop and evaluate machine learning models for forecasting, classification, prediction and other business use cases
Deploy, monitor and maintain AI applications and models in production environments
Implement testing, version control, CI/CD, monitoring and MLOps practices to ensure solution reliability and maintainability
Evaluate AI solution quality, performance, accuracy, cost and scalability
Apply security, privacy, access control and responsible AI principles in accordance with enterprise policies
Liaise with other teams to maintain technical documentation and contribute to continuous improvement of enterprise AI solutions

Key Competencies

Analytical thinking and problem-solving
Strong software engineering and technical design skills
Business-oriented approach to solution development
Effective communication and collaboration
Attention to security, quality and maintainability
Adaptability and continuous learning

Requirements

Qualifications

Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related field, or equivalent practical experience
3-5 years of relevant experience in software engineering, AI/ML engineering or applied AI development
Strong programming skills in Python and working knowledge of SQL
Practical experience with LLMs, AI APIs, prompt engineering and RAG concepts
Experience with APIs, data integration, data preparation and software development practices
Familiarity with cloud AI platforms, preferably Microsoft Azure, Azure OpenAI or comparable services
Understanding of deployment practices, automated testing, version control and MLOps
Knowledge of AI evaluation, data privacy, application security and responsible AI principles
Legally eligible to work in Canada

Nice to have

Experience with AI frameworks such as LangChain, LlamaIndex or Semantic Kernel
Familiarity with vector databases, embeddings, semantic search and AI agent orchestration
Experience with Microsoft 365, Azure AI services, Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning or Microsoft Power Platform and enterprise document management systems
Exposure to traditional machine learning, predictive analytics, Docker and CI/CD pipelines
Relevant cloud, AI or machine learning certifications
Kubernetes and infrastructure-as-code (Terraform)
Fine-tuning and LLM evaluation frameworks
Experience in a regulated enterprise setting

Benefits

Extended Healthcare Plan (Medical, Disability, Dental & Vision)
Group RRSP
Group Life - AD&D - Critical Illness Insurance
Training & Development
Employee Assistance Program - Counseling
Paid Time Off

Apply About employer

More about this job

Responsibilities

Design, develop, integrate, and deploy AI and machine learning solutions, including LLM applications, RAG systems, AI agents, automated workflows, and predictive models. Maintain production solutions through testing, monitoring, MLOps, security, performance evaluation, documentation, and collaboration with business, data, development, and IT teams.

Requirements

A bachelor's degree in computer science, software engineering, artificial intelligence, data science, or a related field - or equivalent practical experience - is required, along with 3–5 years of relevant experience. Candidates need strong Python skills, working knowledge of SQL, practical experience with LLMs, AI APIs, prompt engineering and RAG, and familiarity with cloud AI platforms, software development, deployment, testing, MLOps, privacy, and responsible AI.

Skills

Python
SQL
Generative AI
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
Machine Learning
AI Agents
API Integration
Data Preparation
Microsoft Azure
MLOps
CI/CD
AI Evaluation
Application Security
Responsible AI

Benefits

Extended Healthcare Plan
Group RRSP
Group Life, AD&D, and Critical Illness Insurance
Training and Development
Employee Assistance Program
Paid Time Off

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Generative AI
Large Language Models
Retrieval-Augmented Generation
AI Agents
Prompt Engineering
Machine Learning
Predictive Analytics
Workflow Automation
Microsoft Azure
Azure OpenAI
Azure AI Foundry
Azure Machine Learning
Microsoft Power Platform
LangChain
LlamaIndex
Semantic Kernel
Vector Databases
Embeddings
Semantic Search
MLOps
CI/CD
Docker
Kubernetes
Terraform
Data Pipelines
API Integration
Responsible AI

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