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Added 3 days ago
I
QA Engineer
Intersog
Remote, Canada
- Contract
- Remote
Intersog is a software engineering, custom development, and IT consulting provider that helps organizations build dedicated development teams and access the technology expertise needed to…
Added 3 days ago
O
Senior Software Engineer - AI Oversight
OpenMined
Remote, Canada
- $126,000 to $160,000 USD / year
- Contract
- Remote
5+ years of professional engineering experience, with strong Python skills
Added 3 days ago
C
Expert AI Engineering-CA
CN
Quebec, QC
- Full-time
…intelligence (AI) solutions that support CN's next generation of data, analytics, automation, and agentic capabilities. The role translates business opportunities into production-grade AI…
Added 3 days ago
TL
Senior Data Engineer (Modern Data Stack) [Only Canada]
Tekton Labs
Canada
- Full-time
Write clean, efficient, and reusable Python code for data functions, pipeline development, and data asset monitoring.
Added 3 days ago
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Senior Manager, First Party Fraud Analytics - Onboarding
BMO
Toronto, ON
- Full-time
Data wrangling, preprocessing, and feature engineering
Added 3 days ago
PG
Software Engineer in Test
Pacer Group
Toronto, ON
- $40 to $45 CAD / hour
- Contract
5+ years of relevant experience in Quality Engineering, Quality Assurance, test automation, or software development.
Added 3 days ago
TI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Tekgence Inc
Brampton, ON
- Contract
Define quality strategies, test plans, test cases, and test data for functional, integration, system, regression, API, database, and acceptance testing.
Added 3 days ago
FS
Senior AI Engineer
Futran Solutions
Mississauga, ON
- Full-time
Solid SQL, data modeling, and data engineering fundamentals.
Added 3 days ago
PS
Senior Platform Developer (Toronto)
Productive Shop
Toronto, ON
- Full-time
Join our small engineering team and build the data infrastructure, automations and AI features behind our platform and client work. You'll own systems end to end, with direct access to…
Added 3 days ago
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Azure Data Consultant, Senior Associate
PwC
Toronto, ON
- Full-time
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial…
Added 3 days ago
PI
Senior Database Reliability Engineer
PENN Interactive
Canada
- Full-time
We are looking for a Senior Database Reliability Engineer to join our thriving Engineering team, to work cross-functionally across engineering, focusing on the architecture for optimal…
Added 3 days ago
RI
IT Cloud Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
The Cloud Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and Azuer cloud platforms. This role involves working with large datasets, optimizing…
Added 3 days ago
MC
Supply Chain Analyst
Masco Canada
St. Thomas, ON · Masco Canada - St. Thomas
- Full-time
…improvement initiatives across the supply chain. This role transforms data into actionable insights that improve customer service, inventory performance, operational efficiency, and cost…
Added 3 days ago
MC
Supply Chain Analyst
Masco Corporation
St. Thomas, ON · Masco Canada - St. Thomas
- Full-time
…improvement initiatives across the supply chain. This role transforms data into actionable insights that improve customer service, inventory performance, operational efficiency, and cost…
Added 3 days ago
A
Senior Systems Engineer
Aviso
Vancouver, BC
- $100,000 to $120,000 CAD / year
- Full-time
…Systems Engineer is responsible for independently operating, engineering, and improving Aviso's hybrid infrastructure platforms across Windows, Linux, VMware, Azure, AWS, backup/recovery,…
Added 3 days ago
BR
Manager, Risk Control
Brookfield Renewable N.A.
Gatineau, QC
- Full-time
Lead and contribute to initiatives to enhance risk reporting, analytical tools, data quality and reporting infrastructure and processes.
Added 3 days ago
ST
AI Software Engineer
SS&C Technologies
Toronto, ON
- Full-time
Ensure solutions align with software engineering standards, information security controls, and enterprise architecture principles.
Added 3 days ago
ST
AI Software Engineer
SS&C Technologies
Toronto, ON
- Full-time
Ensure solutions align with software engineering standards, information security controls, and enterprise architecture principles.
Added 3 days ago
AW
Senior Systems Engineer
Aviso Wealth
Remote, Canada
- $100,000 to $120,000 CAD / year
- Full-time
- Remote
…Systems Engineer is responsible for independently operating, engineering, and improving Aviso’s hybrid infrastructure platforms across Windows, Linux, VMware, Azure, AWS, backup/recovery,…
Added 3 days ago
Technology Lead
Infosys
ON
5 years of experience in software engineering or data science, with 2–3 years in Gen AI or LLM-based systems.
Added 3 days ago
Technology Analyst
Infosys
ON
3–5 years of experience in software engineering, machine learning, or data science, with hands-on experience in GenAI or LLM-based systems.
Added 3 days ago
UO
Astronomical Lead Software Developer
University of Alberta
Edmonton, AB
- Full-time
BSc in Computer Science, Physics, Engineering, or related field;
Added 3 days ago
C
Procurement Analyst (8 Month) - Winter 2027 Co-op
CIBC
Toronto, ON
- Full-time
Our Procurement team helps CIBC make thoughtful, data-informed decisions that create value across the organization. As a Procurement Analyst, you'll support in-depth financial, procurement,…
Added 3 days ago
K
Senior Data Integration Developer, Fabric
KPMG
Toronto, ON · ON · Vaughan, Ontario
- Full-time
The Senior Data Integration Developer (Fabric) designs, builds, and supports secure, scalable data integration solutions for KPMG Canada’s internal clients through the Enterprise Analytics…
Added 3 days ago
GR
Cyber Security Specialist - L3
Global Relay
Vancouver, BC
- Full-time
…solutions. We securely capture and preserve the communications data of the world’s most highly regulated firms, giving them greater visibility and control over their information and…

Expert AI Engineering-CA

Quebec, QC, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Dec 2, 2026
Experience: Between 2 to 5 years of experience in software engineering, data engineering, machine learning engineering, AI engineering, or related technology delivery roles
Posting language: English
Posted: Nov 2, 2026

Original job description

Job Summary

The incumbent is responsible for designing, building, integrating, and operationalizing enterprise artificial intelligence (AI) solutions that support CN's next generation of data, analytics, automation, and agentic capabilities. The role translates business opportunities into production-grade AI applications, AI agents, intelligent workflows, reusable components, and platform-integrated services. The incumbent works across software engineering, data engineering, machine learning, and generative AI to deliver secure, governed, reliable, and scalable AI solutions using CN-approved platforms and patterns. The role collaborates with AI architects, platform engineers, AI operations, data scientists, data engineers, business partners, cybersecurity, governance, architecture, and vendor teams to move AI use cases from concept to production.

Main Responsibilities

AI Engineering and Solution Delivery

Design, develop, test, and deploy AI-powered applications, AI agents, and intelligent workflows that address business needs and deliver measurable value
Build and enhance generative AI, machine learning, and automation solutions using CN-approved engineering patterns, platforms, and controls
Implement Retrieval Augmented Generation (RAG), prompt engineering, model evaluation, and AI workflow automation patterns to support scalable production solutions
Develop reusable application programming interfaces (APIs), services, and components that accelerate AI delivery and promote consistency across use cases

Data and Platform Integration

Integrate AI solutions with enterprise applications, data platforms, business processes, and operational workflows
Develop and optimize data pipelines, services, and interfaces that support reliable, secure, and scalable AI applications
Contribute to enterprise AI platforms, including Databricks, Gemini Enterprise, Vertex AI, and related technologies, to support solution delivery
Collaborate with data engineers, platform teams, and business partners to ensure AI solutions are aligned with enterprise architecture, data quality, and operational requirements

Governance, Operations and Continuous Improvement

Apply AI governance, security, privacy, Responsible AI, and model risk controls throughout the solution lifecycle
Support production deployment, monitoring, troubleshooting, quality evaluation, red-teaming, hallucination mitigation, and continuous improvement of AI solutions
Document technical designs, decisions, limitations, and operational requirements to support maintainability, auditability, and successful handover

Working Conditions

The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and is eligible to participate in CN's hybrid work model. The role involves managing priorities and delivering work within established timelines, with support from the team to ensure sustainable and effective workload management.Requirements

Experience

AI Engineering

Between 2 to 5 years of experience in software engineering, data engineering, machine learning engineering, AI engineering, or related technology delivery roles
Experience building enterprise copilots, chatbots, document intelligence solutions, workflow assistants, AI agents, or agentic applications
Experience with generative AI, large language models (LLMs), Retrieval Augmented Generation (RAG), vector search, embeddings, prompt engineering, agents, and model evaluation
Experience with Google Cloud Platform, Vertex AI, Gemini Enterprise, Databricks, Spark/PySpark, Delta Lake, Unity Catalog, MLflow, or comparable cloud AI and data platforms*
Experience implementing observability, quality evaluation, red-teaming, hallucination mitigation, safety controls, and continuous improvement practices for AI systems*
Candidates with an equivalent combination of education, training, and experience will be considered
Any requirement above marked with (*) would be considered as an asset (not mandatory)

Education/Certification/Designation

Bachelor's Degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Information Technology, Engineering, or a related field, or equivalent experienceGoogle Cloud, Vertex AI, Machine Learning Engineer, Data Engineer, or related cloud or AI certification*Candidates with equivalent practical experience, education, or training will be considered*Any requirement above marked with (*) would be considered as an asset (not mandatory)

Competencies

We Care About Each Other
We Strive for Excellence
We Succeed Together
We Lead Responsibly
Vision and strategic thinking
Impactful and inclusive leadership
Performance and value delivery
Empowerment and talent development
Strategic communication and influence
Managerial courage and decisiveness
Compliance
Customer service
AI Literacy and data orientation
High-Impact Execution
Process optimization

Technical Skills/Knowledge

Strong programming skills in Python and Structured Query Language (SQL), with experience using APIs, Git, CI/CD, testing, and software engineering practices
Knowledge of AI frameworks and tools such as LangChain, LangGraph, CrewAI, AutoGen, FastAPI, Streamlit, Docker, Kubernetes, or related technologies
Understanding of data governance, data quality, metadata, lineage, security, privacy, Responsible AI, and enterprise technology delivery practices

Apply About employer

More about this job

Responsibilities

Design, build, integrate, and operationalize secure, governed, and scalable AI applications, agents, workflows, and reusable services that address business needs. Integrate solutions with enterprise data and platforms, support production monitoring and continuous improvement, and document designs and operational requirements.

Requirements

Requires 2–5 years of experience in software engineering, data engineering, machine learning engineering, AI engineering, or a related technology delivery role, along with a bachelor's degree in a relevant field or equivalent experience. Candidates should have strong Python and SQL skills and experience with generative AI, LLMs, RAG, AI platforms, APIs, and software engineering practices; listed cloud and AI certifications are assets.

Skills

Python
SQL
Generative AI
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
AI Agents
Machine Learning
Vertex AI
Databricks
Data Engineering
API Development
Model Evaluation
AI Governance
CI/CD
Data Quality

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
AI Engineering
Generative AI
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Vector Search
Embeddings
Prompt Engineering
AI Agents
Model Evaluation
Python
SQL
Google Cloud Platform
Vertex AI
Gemini Enterprise
Databricks
Apache Spark
PySpark
Delta Lake
Unity Catalog
MLflow
LangChain
LangGraph
CrewAI
AutoGen
FastAPI
Docker
Kubernetes
Responsible AI

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