**Expert, AI Engineer**
At CN, everyday brings new and exciting challenges.

You can expect an interesting workplace where you're part of making sure our business is running optimally and safely―helping keep the economy on track.

We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference.

You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM.

The careers we offer are meaningful because the work we do matters.

Join us!
**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
**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*
Any requirement above marked with (*) would be considered as an asset (not mandatory)
**Competencies**
Applies critical thinking
Knows the business and stays current on industry needs
Collaborates with others and shares information
Communicates with impact
Identifies needs and finds solutions to create value for all stakeholders
Leads by example for the safety and security of all
Identifies potential safety and security risks **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 Lang

Chain, Lang

Graph, CrewAI, Auto

Gen, FastAPI, Streamlit, Docker, Kubernetes, or related technologies
Understanding of data governance, data quality, metadata, lineage, security, privacy, Responsible AI, and enterprise technology delivery practices
**Education/Certification/Designation**
Bachelor's Degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Information Technology, Engineering, or a related field, or equivalent experience
Google Cloud, Vertex AI, Machine Learning Engineer, Data Engineer, or related cloud or AI certification*




Any requirement above marked with (*) would be considered as an asset (not mandatory)
**About CN **
CN is a world-class transportation leader and trade-enabler.

Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year.

As the only railroad connecting Canada's Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship.

At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.
**About CN**
CN is a premium railroad that
sustainably generates value for our customers, shareholders, employees, and
stakeholders with an unwavering commitment to safety and service.

Essential to
the economy, to the customers, and to the communities it serves, CN safely
transports more than 300 million tons of natural resources, manufactured
products, and finished goods throughout North America every year. CN's network
connects Canada's Eastern and Western coasts with the U.S.

South through a
20,000-mile rail network. CN and its affiliates have been contributing to
community prosperity and sustainable trade since 1919. CN powers the North
American economy and is committed to programs supporting social responsibility
and environmental stewardship.

At CN, we are dedicated to
building North America's safest (https://www.cn.ca/en/safety/) , most inclusive (https://www.cn.ca/en/careers/inclusion)
and sustainable (https://www.cn.ca/en/delivering-responsibly/environment/) railroad, which includes
reflecting the communities in which we operate.

Research shows that candidates
often don't apply unless they feel they fit the job posting at 100%.

To all potential applicants, even if you don't meet
every job requirement listed in a posting, we still encourage you to apply.

If you require an accommodation for the recruitment process (including
alternate formats of materials, accessible meeting rooms or other
accommodations), please get in touch with our team at
**[email protected] ** .

As an equal opportunity
employer, qualified candidates will receive consideration for employment
without regard to race, color, religion, sex, sexual orientation, gender
identity, national origin, disability, protected veteran status, and other
protected status as required by applicable law.

Please monitor your email on a regular basis as communication to
applicants is done via email.

📌 Expert, AI Engineer (Brampton)
🏢 CN
📍 Brampton