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Added 1 hour ago
AI Engineer
Insight
Remote, Canada
Full-time · Remote
As an AI Engineer, you will design and implement production-grade AI agents and multi-agent systems that use tools, call APIs, reason over enterprise data, and power modern mobile, web, and…
Added 1 hour ago
Data Engineer Sr
Insight
Toronto, ON
Full-time
We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms that enable analytics, reporting, operational intelligence, and AI-driven solutions.
Added 1 hour ago
Senior Azure engineer
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
Full-time
A strong focus on collaboration and continuous improvement is key. The Senior Azure Engineer will work with colleagues across engineering, security, and service teams to implement best…
Added 2 hours ago
Intern, Project Engineering - Challenger (Winter 2027)
Bombardier
Montreal, QC
Volunteer
Support the Project Engineer to monitor project performance and other project tasks;
Added 4 hours ago
Lead Engineer
Raymond James Ltd.
Vancouver, BC
Full-time
The Lead Engineer is the senior technical engineering lead within Digital Workplace & Platform, responsible for improving the stability, resilience, automation, control effectiveness, and…
Added 4 hours ago
Automation Specialist (Engineer, E.I.T. or Technologist) - Machinery Performance
Spartan Controls Ltd.
Calgary, AB
…best, but also empowers you to do what it takes to create a solution, address a need, or respond to an…
Added 4 hours ago
Data Engineer Sr
Insight Enterprises, Inc.
Toronto, ON
We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms that enable analytics, reporting, operational intelligence, and AI-driven solutions.
Added 4 hours ago
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 4 hours ago
Product Engineer, DT Commercial
''
Toronto, ON
Full-time
Position Title: Product Engineer, DT Commercial
Added 5 hours ago
Software Engineer II (Mainframe)
TD
Toronto, ON
Full-time
Participate in solution design reviews, estimation, impact assessments, and technical feasibility analysis.
Added 5 hours ago
Front-end Software Engineering Lead & Manager, SVP
Citi
Mississauga, ON
Full-time
12+ years of progressive experience in front-end engineering, with at least 5 years in an architecture leadership or principal engineer role.
Added 5 hours ago
OpenStack Cloud Engineer Consultant for SSC
49 Solutions
Remote, Canada
Remote
49 Solutions is seeking an experienced OpenStack Cloud Engineer to support an opportunity with Shared Services Canada (SSC).
Added 5 hours ago
Firmware Engineer (15-Month Contract)
Delta-Q Technologies
Vancouver, BC
Contract
…navigation software for electric and hybrid drive systems. As a full-solution supplier, the ZAPI GROUP can support every component OEMs need to design effective electric vehicles that meet…
Added 5 hours ago
Forward Deployed Engineer
Antasphere
Brussels, ON
Contract
Sit with the client, understand their process, and translate it into a scoped solution. Say no to the faster horse.
Added 5 hours ago
OpenStack Cloud Engineer Consultant for SSC
49 Solutions
Ottawa, ON
$150,000 to $200,000 CAD / year
Full-time
49 Solutions is seeking an experienced OpenStack Cloud Engineer to support an opportunity with Shared Services Canada (SSC).
Added 5 hours ago
Firmware Engineer (15-Month Contract)
Delta-Q Technologies
Vancouver, BC
Contract
…navigation software for electric and hybrid drive systems. As a full-solution supplier, the ZAPI GROUP can support every component OEMs need to design effective electric vehicles that meet…
Added 5 hours ago
Manager AI Engineering-CA
CN
Montreal, QC
Full-time
Contribute to enterprise AI platforms, including Databricks, Gemini Enterprise, Vertex AI, and related technologies, to support solution delivery
Added 6 hours ago
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 6 hours ago
Network Engineer (35135)
Myticas Consulting
Ottawa, ON
Full-time
We are looking for an experienced Network Service Engineer with strong expertise in customer network service configuration to support the design, implementation, and optimization of network…
Added 6 hours ago
Sr. Integration Architect - Automation
Infotree Global Solutions
Toronto, ON
Contract
Job Title: Sr Integration Engineer (Intelligent Automation)
Added 6 hours ago
Data Engineer (Data Modeling/Data Governance)
Tangerine
Toronto, ON
Full-time
We are looking for an experienced Data Engineer to design, develop, and support scalable enterprise data solutions within a financial services environment.
Added 6 hours ago
Lead DevOps Engineer
Royal Bank of Canada
Toronto, ON
Full-time
…streamlining the software delivery lifecycle? As a Lead DevOps Engineer, you will play a critical role in bridging the gap between development and operations, ensuring that our applications…
Added 7 hours ago
AWS Architect/ Tech Lead
Deloitte
Toronto, ON
Full-time
…architecture blueprints, migration patterns, tooling recommendations, solution alternatives, risk assessments, and roadmap development for large-scale modernization…
Added 7 hours ago
Technical Client Care Manager
TLC Solutions
Langley (District), BC · Langley, British Columbia
Full-time
…need to be credible in front of a business owner without an engineer beside you, and comfortable holding a price when someone quotes…
Added 7 hours ago
Data Analytics & Automation Engineer
Aon Corporation
Calgary, AB · AB · Vancouver, BC · Toronto, ON · Edmonton, Alberta
Full-time
As a Data Analytics & Automation Engineer, you will collaborate with business leaders, analytics professionals, operational collaborators, and technology teams. You will deliver scalable…

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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