Expert, AI Engineer

CN; Montréal-Est; On-site; CAD 110,000 - 160,000; Full time

Job summary

CN is seeking an Expert AI Engineer to design, build, and operationalize enterprise AI solutions across data, analytics, automation, and agentic capabilities. You will translate business opportunities into production-grade AI applications, agents, and workflows, collaborating with AI architects, data scientists, and platform teams.

You will implement secure, governed AI systems using CN-approved platforms, while advancing observability, safety, and continuous improvement.

Qualifications

• Bachelor’s degree in CS or related field or equivalent experience.
• Cloud/AI certifications (Google Cloud, Vertex AI, Data Engineer) are assets.
• Experience with AI frameworks and enterprise delivery practices is preferred.

Responsibilities

• Design, build, test, and deploy AI-powered applications, agents, and workflows.
• Leverage CN-approved engineering patterns and platforms for AI delivery.
• Contribute to enterprise AI platforms and ensure alignment with architecture and data quality.
• Collaborate with data engineers, platform teams, and business partners.

Skills

Python programming

SQL

APIs

Git

CI/CD

Testing

Software engineering practices

Education

Bachelor's degree in CS/Software Engineering or related field

Google Cloud/Vertex AI certification

Tools

LangChain

LangGraph

CrewAI

AutoGen

FastAPI

Streamlit

Docker

Kubernetes

Databricks

Job description

Expert, AI Engineer

At CN, everyday brings new and exciting challenges. You can expect an interesting environment 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 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

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%. 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 [e-mail] .

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.

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