AI Software Engineer

Bombardier is hiring an AI Software Engineer. Level rates it ; you can apply on Bombardier.

Level's read on this job

Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
The posting mentions Databricks, computer vision and NLP among its tools and skills.
Level classes it as a mid-level role.
Bombardier has 934 other open roles on Level.
Posted in the last few days.

AI in this role

databricks

computer-visionnlp

When applicable, Bombardier promotes flexible and hybrid work policies.

Why join us?

At Bombardier, we design, build and maintain the world’s peak-performing aircraft for the world’s most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together.

Working at Bombardier means operating at the highest level. Every day, you are part of a team that delivers superior experiences and products, pushing the boundaries of what's possible in our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are free to be yourself and share your unique expertise.

Bombardier’s Benefits Program

With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:

Insurance plans (Dental, medical, life insurance, disability, and more)
Competitive base salary
Retirement savings plan
Employee Assistance Program
Tele Health Program

What are your contributions to the team?

Collaborate with cross-functional teams to identify high-impact business challenges that can be addressed through AI and ML.
Design, develop and maintain modern applications and AI/ML models using Python, React and related frameworks.
Automate data extraction, transformation, and loading processes for AI/ML pipelines.
Deploy and integrate new and existing AI models into enterprise systems, including SAP S/4HANA.
Ensure performance, scalability and responsiveness of AI-powered applications to drive measurable business value.
Contribute to model lifecycle management, including monitoring, evaluation and continuous improvement.
Maintain clean, modular and well-documented code following best practices.
Engage with business stakeholders to gather requirements, incorporate feedback, and translate them into effective technical solutions.
Stay current on advancements in AI/ML and Software Engineering to proactively introduce relevant innovations to the organization.

How to thrive in this role?

More than 2+ years of experience in Artificial Intelligence, Machine Learning, and Deep Learning, with a strong track record of developing, training, and deploying production-grade AI solutions.
Bachelor's or Master’s degree in Computer Science, Engineering, Statistics, or a related technical field.
Strong proficiency in Python, SQL, React, JavaScript/TypeScript, PySpark, REST APIs and full-stack integration.
Solid understanding and hands-on experience in developing and deploying ML/DL models, including Computer Vision, Natural Language Processing (NLP), Time Series Forecasting, Predictive Analytics and Image Recognition solutions.
Proven experience with cloud platforms, with preference to Microsoft Azure, particularly tools like Azure Databricks, AML, AI Foundry, App Services, AKS, Blob Storage, etc.
Proficiency with Agile methodologies, Azure DevOps, and application lifecycle management tools.
Knowledge of scripting in Linux or PowerShell.
Strong analytical thinking, problem-solving ability, and decision-making initiative.
Excellent verbal and written communication skills with the ability to present technical concepts to business stakeholders.

Now that you can see yourself in this role, apply and join the Bombardier Team!

Please note: You don’t need all the skills, knowledge, and experience listed to apply for this position. We’re not looking for the perfect candidate, we’re looking for great talent and passionate individuals.

Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply.

Job AI Software Engineer

Primary Location Administrative Centre (CA)

Organization Aerospace Canada

Shift Day job

Employee Status Regular

Requisition 16397 AI Software Engineer

How we rate this

AI Software Engineer at Bombardier rates 88 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI Software Engineer is an open job at Bombardier.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Dorval, QC, CAN, H4S 1Y9.
The job was posted on November 3, 2026.
Seniority: mid.
Applications are handled by Bombardier. Apply on Bombardier

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionNLPDatabricks

Also common in software engineer jobs at this level

LLM C++AWS AI agents Kubernetes Java

Pay

Typical software engineer job: $167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
What NLP problem have you worked on, and how did you measure whether it actually worked?
What are the limits of Databricks that you've run into, and how did you work around them?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Computer vision, NLP, and Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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