Data Engineer, Digital

When applicable, Bombardier promotes flexible and hybrid work policies.

Analyst, Data Engineering, Digital & Artificial Intelligence Department

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.

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)

- Retirement savings plan

- Employee Assistance Program

Design and implement generative AI agents using large language models (LLMs).

1. Develop agentic workflows where AI agents collaborate seamlessly across business processes.

2. Leverage state‑of‑the‑art LLMs to create custom generative AI solutions tailored to business needs.

3. Optimize AI agents for performance, reliability, and scalability within enterprise environments.

4. Build and integrate ontologies and knowledge graphs into AI workflows to enhance data organization, retrieval, and reasoning.

5. Apply semantic technologies to enable AI agents to operate within structured business contexts.

6. Work closely with data analysts, data scientists, and application developers to integrate AI agents into end‑to‑end solutions.

7. Utilize tools like Microsoft Semantic Kernel to enable seamless AI collaboration across workflows.

8. Stay updated on advancements in generative AI, multi‑agent systems, and related technologies.

9. Explore innovative techniques and tools to improve AI agent capabilities and performance.

10. Document AI agent development processes, workflows, and integration strategies.

11. Share insights and best practices with team members and stakeholders.

How to thrive in this role? Skills, knowledge & experience:

- Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, or a related field. A PhD is a strong asset.

- 5+ years of professional experience in machine learning and deep learning.

- Demonstrated experience building and deploying AI agents and agentic workflows.

- Hands‑on experience with large language models (LLMs) and generative AI technologies.

- You are autonomous, innovative and dynamic.

- Prior experience with Microsoft Semantic Kernel or similar tools is a strong asset.

- Proficiency in Python and relevant ML/DL frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.

- Deep understanding of LLMs and their optimization for enterprise use cases.

- Working knowledge of ontologies, knowledge graphs, and semantic technologies.

- Familiarity with cloud‑based AI tools, particularly within the Microsoft Azure ecosystem.

- Strong analytical and problem‑solving skills with attention to detail.

- Demonstrated passion for staying ahead of industry trends and bringing fresh ideas to complex problems.

- A keen interest in advancing the state of the art in generative AI and AI agent development.

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 Analyst, Data Engineering, Digital & Artificial Intelligence Department

Primary Location Administrative Centre (CA)

Organization Aerospace Canada

Shift Day job

Employee Status Regular

Requisition 8126 Analyst, Data Engineering, Digital & Artificial Intelligence Department

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