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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 just now
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Senior Lead Data & AI Engineer
Vanguard
Toronto, ON
- Full-time
We are seeking an experienced Senior Lead Data & AI Engineer with 9-12+ years of experience in Data Engineering and modern cloud-based data platforms, with deep expertise in Databricks,…
Added 15 mins 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 45 mins ago
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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 45 mins ago
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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 45 mins 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 45 mins 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 1 hour ago
IG
Quality Engineer – AI Chatbot Validation
IMCS Group
ON · Ontario, Canada
- Contract
Job Title: Quality Engineer (QE) / SDET – AI Chatbot Validation
Added 1 hour ago
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Software Developer
Cisco
Vancouver, BC
- Full-time
Senior Software Engineer (G10) – Job Description
Added 1 hour ago
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Expert AI Engineering-CA
CN
Quebec, QC
- Full-time
Experience implementing observability, quality evaluation, red-teaming, hallucination mitigation, safety controls, and continuous improvement practices for AI systems*
Added 1 hour ago
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Senior Data Engineer (Modern Data Stack) [Only Canada]
Tekton Labs
Canada
- Full-time
…Peru, Mexico, and the USA, we are looking for a Senior Data Engineer to join our team and collaborate directly with our client in the Canadian financial…
Added 1 hour 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 1 hour ago
MC
Cloud Operations Engineer – Azure AKS Terraform (36170)
Myticas Consulting
Toronto, ON
- Full-time
Cloud Operations Engineer – Azure / AKS / Terraform
Added 2 hours ago
Senior Software Engineer (Devops)
Electronic Arts
Vancouver, BC
Partner with us to improve reliability, observability, and developer workflows
Added 2 hours 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 2 hours ago
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Software Engineer II
TD
Toronto, ON
- Full-time
· Incorporate incident lessons into engineering, testing, monitoring, and design practices; promote effective logging, observability, resiliency, and operational readiness.
Added 2 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 2 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 2 hours ago
KG
Kafka Engineer
K&K Global Talent Solutions INC.
Montreal, QC
- Full-time
We are looking for a Kafka Engineer with strong experience in Apache Kafka, Python, Linux, and Grafana to support and enhance large-scale distributed systems within an Investment Banking…
Added 3 hours ago
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DevOps Engineer
TechDoQuest
Canada
- Full-time
We are seeking a Advanced Site Reliability / DevOps Engineer to join the Fulfillment Services team, focused on infrastructure automation, cloud platform management, and CI/CD enablement.…
Added 4 hours ago
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Senior Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Senior Full Stack Engineer, you will help shape solutions, advance strategic initiatives, strengthen our technology footprint and champion strong engineering practices within your team.
Added 4 hours ago
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Senior Platform Engineer
Flinks
Remote, Canada
- Full-time
- Remote
Working knowledge of observability: traces, metrics, logs, SLOs.
Added 4 hours ago
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React Native - Mobile FullStack Developer
Zoho
Toronto, ON
- Contract
As a Senior Full Stack Software Engineer in our US Retirement technology organization, you will design, build, and ship high-quality mobile and backend solutions that serve our Retirement…
Added 4 hours ago
VT
AI Engineer - Agentic AI, Commercial Banking
Vision Talent Co.
Toronto, ON
- Contract
Role: AI Engineer – Agentic AI, Commercial Banking
Added 4 hours ago
TR
Staff Software Engineer - II (KeyCite)
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
As a Staff Software Engineer II at KeyCite, you will lead complex, business-critical engineering initiatives from architecture through production. You will modernise established platforms…

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

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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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