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Added 24 mins ago
Senior Manager, Engineering
TD
Toronto, ON
Full-time
Lead a team of engineers to design, engineer, and coordinate execution of IAM related components for new service delivery, platform enablement & enhancements, and cloud migrations on our…
Added 24 mins ago
Lead Solutions Architect, Enterprise Technology Services
Manulife
Toronto, ON
Full-time
Join our Enterprise Technology Services team!
Added 54 mins ago
Developer 3
Symcor
Mississauga, ON
Hands-on experience with Azure cloud services and automation tools.
Added 1 hour ago
Senior Manager Cyber Cloud Security and AI
PwC
Toronto, ON · Ottawa, ON · Vancouver, BC · Calgary, AB
Full-time
Team Leadership: Lead and mentor a team of cybersecurity professionals, fostering a culture of continuous improvement and knowledge sharing. Collaborate with cross-functional teams to…
Added 1 hour ago
Team Lead, AI Engineering
The Citco Group Limited
Halifax, NS
Full-time
You will lead a cross-functional AI engineering team responsible for designing, building and supporting secure, cloud-native and AI-enabled applications for financial services.
Added 1 hour ago
Senior AI Engineer
The Citco Group Limited
Halifax, NS
Full-time
As a core member of our technology team, you will work with dedicated professionals to design, build and support secure, cloud-native, AI-enabled applications for the financial services…
Added 1 hour ago
VP, Information Services
Calian Group
Ottawa, ON
Full-time
We are looking for a Vice President, Information Services to lead the next stage of growth and operational maturity within Calian's enterprise technology environment.
Added 2 hours ago
Founding AI Engineering (Forward Deployed)
CGI
Toronto, ON
Full-time
Ability to lead a delivery team, mentor others, and set technical direction.
Added 2 hours ago
Director AI Engineering
CGI
Toronto, ON
Full-time
We are looking for a Director, Consulting Services to build and lead this new capability. This is a people leadership role with accountability for the team, delivery, and client…
Added 2 hours ago
Senior Manager, Back-End Development
Royal Bank of Canada
Toronto, ON
Full-time
As part of a major payment modernization initiative, Royal Bank of Canada is seeking a hands-on Senior Manager to lead a team of backend developers while actively contributing to code…
Added 2 hours ago
Full Stack Developer (PHP/JavaScript)
TMX Group
Vancouver, BC · Greater Vancouver Metropolitan Area
Full-time
TMX Newsfile is a leading provider of news dissemination and regulatory filing services for publicly traded and private companies across North America. As part of our dedicated technology…
Added 2 hours ago
Development Manager-Java Microservices
Raise
Toronto, ON
Full-time
Raise is currently hiring a Development Manager-Java Microservices on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to work with…
Added 3 hours ago
Unified Digital Specialist
Microsoft
Vancouver, BC · Edmonton, AB · Calgary, AB
Full-time
The SME&C Unified Digital Specialist will lead by example towards the specialized sales resources, drive the team to close new business throughout the territories, and coaches on building…
Added 3 hours ago
Lead Embedded Banking Program Information Technology (IT) Manager
HSBC
Toronto, ON
Full-time
In Canada, HSBC Global Services (Canada) Limited (HGCA) is a wholly owned subsidiary of HSBC Global Services Limited. Operating in Toronto, HGCA is part of a global service company,…
Added 3 hours ago
Senior Consultant - GCP Cloud Infrastructure Architect
Deloitte
Toronto, ON
Full-time
Lead migrations from on-prem and other clouds - lift-and-shift on Compute Engine and GCVE, replatform to GKE and Cloud Run, refactor to managed services - with clear cost, risk, and cutover…
Added 3 hours ago
Senior Consultant - GCP Data & AI Architect
Deloitte
Toronto, ON
Full-time
This is a Senior Consultant role: 7–10 years of total experience with 4–6 years hands-on on Google Cloud (or equivalent cloud with a credible GCP transition path). You will lead workstreams…
Added 3 hours ago
Senior Consultant - GCP Agent Platform Architect
Deloitte
Toronto, ON
Full-time
This is a Senior Consultant role: 7–10 years of total experience with 4–6 years hands-on on Google Cloud (or equivalent cloud with a credible GCP transition path). You will lead workstreams…
Added 3 hours ago
Senior Azure engineer
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
Full-time
Migration & Optimisation: Lead cloud migration strategies (lift-and-shift, hybrid extensions, or refactoring) and continuously optimize Azure spend and resource utilisation.
Added 3 hours ago
Infrastructure Engineer
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
Full-time
…and resolve incidents, validate backup operations across both cloud and on-premises environments and provide meaningful first-response support for critical P1 and P2…
Added 3 hours ago
Senior Infrastructure Engineer (Linux & Cloud Automation)
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
Full-time
T1 Escalation Handling: Receive and resolve Linux and cloud automation incidents escalated by T1 engineers. Provide guidance and knowledge transfer to T1 team members.
Added 4 hours ago
IT Site Manager - Infrastructure & Operations
STERIS
Quebec, QC
Full-time
…success of our manufacturing and business operations. You will lead a local IT team, oversee infrastructure and systems that support day-to-day operations, drive technology projects, and…
Added 5 hours ago
IT and Cybersecurity Services Lead
Durham Community Health Centre
Oshawa, ON
Full-time
Position Title: IT and Cybersecurity Services Lead
Added 5 hours ago
Project Delivery Manager
Tenom Technologies Inc
Toronto, ON · Winnipeg, MB
Full-time
…technical expertise, based out of Winnipeg, Manitoba. You'll lead a multidisciplinary team of senior consultants, acting as both their operational leader and a senior technical escalation…
Added 5 hours ago
Quality and Process Coordinator
Ledcor
Vancouver, BC
Full-time
…improvement, and system administration within our Business & Employee Services (BES) group. Reporting to the Team Lead, Quality & Projects, you will analyze HR data, identify trends and…
Added 5 hours ago
Quality and Process Coordinator
Ledcor
Edmonton, AB
Full-time
…improvement, and system administration within our Business & Employee Services (BES) group. Reporting to the Team Lead, Quality & Projects, you will analyze HR data, identify trends and…

Manager AI Engineering-CA

Montreal, QC, Canada

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

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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, and workflows that address business needs. Integrate solutions with enterprise data and platforms, and support production deployment, monitoring, evaluation, 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, and enterprise security and governance practices.

Skills

AI Engineering
Generative AI
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
AI Agents
Python
SQL
Google Cloud Platform
Vertex AI
Databricks
Data Engineering
API Development
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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