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Added 1 hour ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Systems Testing/QA Specialist with strong expertise in enterprise-level software testing, manual and automated testing, test strategy development, test…
Added 1 hour ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Systems Testing/QA Specialist with strong expertise in enterprise-level software testing, manual and automated testing, test strategy development, test…
Added 3 hours ago
G
Product Analyst
GamblingCareers.com
Montreal, QC
- Full-time
Collaborate directly with the game team in supporting their day-to-day data needs.
Added 6 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Administer identity, access, and licensing for applications (e.g., roles and permissions, provisioning) in alignment with governance and audit requirements
Added 7 hours ago
V
QA Engineer
Varonis
Vancouver, BC
- Full-time
Practical experience with SQL and data validation strategies.
Added 11 hours ago
R
2027 Investor Services, PEY Securities Lending Desk (12-16 months)
RBC
Toronto, ON
- Full-time
Strong programming abilities – Python, VBA, SQL,
Added 12 hours ago
RB
Senior MuleSoft Integration Developer
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking a Senior MuleSoft Integration Developer to design, develop, and maintain API-based integrations between Salesforce and enterprise systems. You will play a key role in…
Added 13 hours ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Systems Testing/QA Specialist with strong expertise in enterprise-level software testing, manual and automated testing, test strategy development, test…
Added 14 hours ago
AC
Lead developer
AYINAM CONSULTANCY SERVICES
Regina, SK
- From $46 CAD / hour
- Full-time
- On-site
Consult with clients after sale to provide ongoing support
Added 15 hours ago
G
Product Analyst
GamblingCareers.com
Montreal, QC
- Full-time
Collaborate directly with the game team in supporting their day-to-day data needs.
Added 17 hours ago
FS
Lead software engineer
Forgeahead Solutions Corporation
Surrey, BC
- From $130,000 CAD / year
- Full-time
- Hybrid
Consult with clients after sale to provide ongoing support
Added 18 hours ago
CG
Manager, Risk Modelling
Canada Guaranty
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
Extensive experience using and developing quantitative models with SAS and SQL is a must, experience with Python, R, or other similar software considered a plus.
Added 18 hours ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Strong SQL and database testing experience with Oracle, PostgreSQL, or similar relational databases.
Added 18 hours ago
C
Manager AI Engineering-CA
CN
Quebec, QC
- Full-time
Strong programming skills in Python and Structured Query Language (SQL), with experience using APIs, Git, CI/CD, testing, and software engineering practices
Added 18 hours ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
This is an excellent opportunity for a junior-to-mid-level Data Analyst with strong Power BI, SQL and Microsoft data technologies experience who enjoys turning data into meaningful…
Added 18 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Administer identity, access, and licensing for applications (e.g., roles and permissions, provisioning) in alignment with governance and audit requirements
Added 20 hours ago
NB
Chief Developer in Data Engineering
National Bank of Canada
Montreal, QC
- Full-time
SQL and Python to improve solution performance, reliability, and
Added 1 day ago
LL
Business systems analyst
LATENTBRIDGE LTD.
Mississauga, ON
- From $101,000 CAD / year
- Full-time
- On-site
Added 1 day ago
CS
Software engineering lead
Comncam Solutions Ltd.
Edmonton, AB
- From $36.5 CAD / hour
- Full-time
- Hybrid
Consult with clients after sale to provide ongoing support
Added 1 day ago
AC
Trader (Blockchain) ON, TO
AP Capital
Toronto, ON
- Full-time
Basic programming or scripting knowledge (Python, SQL, etc.) is a plus
Added 1 day ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Systems Testing/QA Specialist with strong expertise in enterprise-level software testing, manual and automated testing, test strategy development, test…
Added 1 day ago
DE
AI Engineer
Digital Era Management & Technology Inc
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Contract
Node.js and Python for agent containers, orchestrators, gatekeepers
Added 1 day ago
HB
Manager, Fraud Risk
Haventree Bank
Toronto, ON
- Full-time
Use SQL, Python, and visualization tools (e.g., Tableau) to build dashboards that track key fraud metrics and emerging trends

Manager AI Engineering-CA

Quebec, QC, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Oct 25, 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: Sep 25, 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, and support deployment, monitoring, evaluation, risk controls, documentation, and continuous improvement.

Requirements

Requires 2–5 years of experience in software, data, machine learning, or AI engineering, including experience delivering enterprise AI applications and working with generative AI, LLMs, RAG, and related techniques. Requires a bachelor's degree or equivalent experience, strong Python and SQL skills, and familiarity with AI frameworks, cloud and data platforms, software engineering practices, and responsible AI controls.

Skills

AI Engineering
Generative AI
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
AI Agents
Python
SQL
Google Cloud Platform
Vertex AI
Gemini Enterprise
Databricks
Data Engineering
AI Governance
Model Evaluation

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
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
Streamlit
Docker
Kubernetes
CI/CD

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