First seen by our source: just now
Expert AI Engineering-CA
@ CN
Québec, Quebec
SIGNALS
Overview
CN is hiring an AI engineer to design, build, integrate and operate enterprise AI solutions, including AI agents, generative AI and intelligent workflows. The role is full-time, office-based with eligibility for CN's hybrid model, and works Monday to Friday. The posting asks for 2 to 5 years of software, data or AI engineering experience.
Responsibilities:
- Design and deploy AI applications, agents and workflows
- Build generative AI, ML and automation solutions on approved platforms
- Integrate AI solutions with enterprise data and applications
- Apply AI governance, security and Responsible AI controls
- Support production monitoring, evaluation and continuous improvement
Requirements summary:
- 2 to 5 years in software, data or AI engineering
- Experience with LLMs, RAG, vector search and agents
- Experience with GCP, Vertex AI, Databricks or similar platforms
- Strong Python and SQL programming skills
- Bachelor's degree in a related field or equivalent experience
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- Not provided
- First seen by our source
- 2026-11-15
- Source record updated
- 2026-11-15
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Software development |
| Experience | 2+ years |
| Hours per week | 40 (estimated) |
| Schedule | day |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Computer Science, Software Engineering, Data Science, Artificial Intelligence, Information Technology |
Summary and details written by AI from the posting; the employer’s posting is the authority.
| Field | Value |
|---|---|
| Headquarters | Downtown Montreal |
| Open jobs on Jobsy | 177 |
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
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
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
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
- 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
- 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
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)
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
- 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
Journal
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