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Added 8 mins ago
BH
Executive Director, Data and Analytics
BC Housing
Burnaby, BC
- Full-time
Reporting to the Vice President, Strategy and Innovation, the Executive Director, Data and Analytics oversees and provides strategic leadership for BC Housing’s enterprise data and…
Added 8 mins ago
P&
Operations Strategy, Sr Manager/Gestionnaire principal, stratégie des opérations
Pratt & Whitney
Longueuil, QC
- Full-time
Added 8 mins ago
I
Program Manager - Oracle Fusion Cloud
Infosys
Toronto, ON
- Full-time
…services. The position will be responsible for overall program governance, delivery planning, scope, schedule, budget, quality, risk and stakeholder management across Oracle Fusion…
Added 8 mins ago
DT
Director of IT Security Infrastructure
Decode Talent
Canada
- Contract
…posture and network backbone of the entire business. You will lead our Microsoft 365 security stack, run our Splunk-based logging and detection, manage our third-party MDR/SOC partner, and…
Added 8 mins ago
RB
Senior Director, Technology Infrastructure Operations & Resiliency
Royal Bank of Canada
Toronto, ON
- Full-time
As the Senior Director, Technology Infrastructure Operations & Resiliency, you will lead the shift of Royal Bank of Canada's Technology Operations & Resiliency (TOR) team to a proactive,…
Added 8 mins ago
RB
Lead Automation Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking an exceptional Principal Engineer to lead the design, development, and implementation of AI-driven software development lifecycle and intelligent automation solutions. This…
Added 37 mins ago
EL
Head of AI Product – Trust Intelligence
EnStream LP
Toronto, ON
- Full-time
…strategy, roadmap and delivery, working side by side with our data science and engineering teams. As the product line grows, you'll build and lead a team of product…
Added 37 mins ago
OH
Lead, Coordinated Access
Ontario Health | Santé Ontario
Waterloo, ON
- Full-time
Lead delivery: Manage complex projects, budgets, milestones and risks; drive implementation, change management and quality improvement.
Added 38 mins ago
V
Senior Lead Data & AI Engineer
Vanguard
Toronto, ON
- Full-time
Join us in a high-impact, high-visibility role where you will lead the design and delivery of enterprise-scale Data & AI solutions that power analytics, operational decision-making, and AI…
Added 38 mins ago
TR
Software Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
…approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled…
Added 52 mins ago
IW
Senior Manager, Business Development
IG Wealth Management
MB · Manitoba, Canada
- Full-time
…internally focused member of the Business Development team. You will lead the planning and delivery of advisor acquisition activities, with a primary focus on IG’s Enterprise Acquisition…
Added 52 mins ago
IW
Senior Manager, Business Development
IG Wealth Management
BC · British Columbia, Canada
- Full-time
…internally focused member of the Business Development team. You will lead the planning and delivery of advisor acquisition activities, with a primary focus on IG’s Enterprise Acquisition…
Added 52 mins ago
IW
Senior Manager Real Estate Operations
IG Wealth Management
MB · Manitoba, Canada
- Full-time
This highly visible position is responsible for establishing robust operating disciplines, leveraging data to enhance service delivery, delivering small-scale facilities projects, and…
Added 52 mins ago
AA
Chef de la Planification Budgétaire et de la Gouvernance / Head of Business Planning & Governance
Airbus Aircraft
Mirabel, QC
- Full-time
Added 52 mins ago
RP
Senior Accounting Analyst, SAP
RECRUITMENT PARTNERS INC.
Calgary, AB
- Contract
Act as a trusted advisor to Finance, Capital Accounting, and operational stakeholders on SAP master data design, governance, and lifecycle management
Added 53 mins ago
M
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 1 hour ago
SI
Manager, Underwriting Member & Co-operative Business
Sovereign Insurance
Toronto, ON
- Full-time
…role in developing team capabilities, maintaining underwriting governance standards, and supporting the organization's strategic…
Added 1 hour ago
S
Associate Customer Success Manager - French
ServiceNow
Montreal, QC
- Full-time
…reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow - helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native…
Added 1 hour ago
IW
Senior Manager, Business Development
IG Wealth Management
AB · Alberta, Canada
- Full-time
…internally focused member of the Business Development team. You will lead the planning and delivery of advisor acquisition activities, with a primary focus on IG’s Enterprise Acquisition…
Added 1 hour ago
I
Cyber Security Consultant
Infosys
Ottawa, ON
- Full-time
…artifacts; deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty. This is…
Added 1 hour 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 1 hour ago
I
Lead Consultant - JD Edwards
Infosys
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Lead technical workshops, solution walkthroughs, and architecture governance reviews.
Added 1 hour ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 1 hour ago
Senior Employer Brand Designer
Questrade Financial Group
Toronto, ON
…& Culture (P&C), the Creative Shop, and Brand Creative, you lead the development, governance, and end-to-end visual storytelling strategy across all digital, physical, and experiential…
Added 1 hour ago
R
Senior Director, Technology Infrastructure Operations & Resiliency
RBC
Toronto, ON
- Full-time
As the Senior Director, Technology Infrastructure Operations & Resiliency, you will lead the shift of Royal Bank of Canada's Technology Operations & Resiliency (TOR) team to a proactive,…

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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