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Added 3 hours ago
S
Software Engineering LMTS
Salesforce
Vancouver, BC · Canada - Vancouver
- Full-time
The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally…
Added 3 hours ago
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Software Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Thomson Reuters is looking for a Software Engineer with an appetite to learn AI-code generation skills within our Editorial Tools & Services team.
Added 3 hours ago
C
Staff Program Manager, Marketing Enablement
Clio
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
…Make, or similar) is table stakes. Reading and writing code (Python, JavaScript) lets you ship a workflow or integration yourself is a huge…
Added 3 hours ago
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Lead Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Lead Full Stack Engineer, you will shape the technical direction for your area, lead complex engineering programs across multiple teams, and establish standards for how solutions are…
Added 3 hours ago
AI/ML Engineer
Conviva
Toronto, ON
We are looking for an AI/ML Engineer with strong machine learning fundamentals and hands-on experience in model development, training, and evaluation. In this role, you will work on…
Added 4 hours ago
M
Lead Full Stack Engineer
Manulife
Waterloo, ON
- Full-time
As a Lead Full Stack Engineer, you will shape the technical direction for your area, lead complex engineering programs across multiple teams, and establish standards for how solutions are…
Added 4 hours ago
I
Technology Analyst - GenAI
Infosys
Mississauga, ON
- Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Engineer to design, develop, and deploy next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation…
Added 4 hours ago
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Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
…and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a…
Added 4 hours ago
AI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a seasoned AI first Senior Quality Engineer who is empowered to help the DevOps enablement team deliver highest level quality and is responsible for ensuring the team…
Added 4 hours ago
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Campus Undergraduate Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Toronto, Ontario, CN
American Express
Toronto, ON
- Full-time
At American Express, we empower future technologists to learn, experiment, and make an impact from day one. As an AI Engineer Intern focused on AI Security Research in Enterprise Technology…
Added 4 hours ago
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Quality Engineer – AI Chatbot Validation
IMCS Group
ON · Ontario, Canada
- Contract
Job Title: Quality Engineer (QE) / SDET – AI Chatbot Validation
Added 4 hours ago
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Senior Staff Software Engineer, Platform
Rippling
Toronto, ON
- Full-time
We're hiring a Senior Staff Engineer to help define the future of Rippling's core platform and AI infrastructure. This is a rare opportunity to work on foundational systems that sit at the…
Added 4 hours ago
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Senior Software Engineer - AI Oversight
OpenMined
Remote, Canada
- $126,000 to $160,000 USD / year
- Contract
- Remote
As a Senior Software Engineer, you'll work most closely with our Technical Lead Manager for AI Oversight, and you'll build core parts of this system and the products on top of it. You'll…
Added 5 hours ago
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Expert AI Engineering-CA
CN
Quebec, QC
- Full-time
…equivalent experienceGoogle Cloud, Vertex AI, Machine Learning Engineer, Data Engineer, or related cloud or AI certification*Candidates with equivalent practical experience, education, or…
Added 5 hours ago
PG
Software Engineer in Test
Pacer Group
Toronto, ON
- $40 to $45 CAD / hour
- Contract
5+ years of programming experience with Java, Python, Groovy, or a comparable language.
Added 5 hours ago
TI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Tekgence Inc
Brampton, ON
- Contract
We are looking for a seasoned AI first Senior Quality Engineer who is empowered to help the DevOps enablement team deliver highest level quality and is responsible for ensuring the team…
Added 5 hours ago
FS
Senior AI Engineer
Futran Solutions
Mississauga, ON
- Full-time
Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask.
Added 5 hours ago
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Azure Data Consultant, Senior Associate
PwC
Toronto, ON
- Full-time
As a Senior Associate, Azure Data Engineer, you will play a key role in designing and building data solutions on Azure. You will work closely with project teams to deliver high-quality data…
Added 5 hours ago
AC
IT Systems Engineer
Algo Communication Products Ltd.
Burnaby, BC
- $95,000 to $115,000 CAD / year
We are looking for an IT Systems Engineer to support our Business Technology team. Reporting to the Business Technology & AI Lead. The successful candidate will serve as our primary…
Added 5 hours ago
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C++ Software Developer (Open Interest)
Actalent
Ottawa, ON
- $45 to $65 CAD / hour
- Full-time
C++ Software Developer/Engineer Talent Network (Open Interest)
Added 5 hours ago
ST
AI Software Engineer
SS&C Technologies
Toronto, ON
- Full-time
Experience developing applications using Java, JavaScript, Python, or Go.
Added 5 hours ago
ST
AI Software Engineer
SS&C Technologies
Toronto, ON
- Full-time
Experience developing applications using Java, JavaScript, Python, or Go.
Added 6 hours ago
Technology Lead
Infosys
ON
…and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a…
Added 6 hours ago
Technology Analyst
Infosys
ON
Infosys is seeking a hands-on Gen AI / Agentic AI Engineer to design, develop, and deploy next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation…
Added 6 hours ago
TE
FinTech Data Engineer: Claude AI Workflow for Form ADV & FINTRX Analytics
The Essence Group
Canada
- Contract
We are seeking an expert Senior FinTech Data Engineer / AI Developer based in Canada or the United States to architect and build a repeatable, highly resilient wealth-management research…

Expert AI Engineering-CA

Quebec, QC, Canada

Full-time

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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

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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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