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Analyst, Data Engineering, Digital & Artificial Intelligence Department

Bombardier

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Location:
Canada , Dorval

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

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.

Job Responsibility:

  • Design and implement generative AI agents using large language models (LLMs)
  • Develop agentic workflows where AI agents collaborate seamlessly across business processes
  • Leverage state-of-the-art LLMs to create custom generative AI solutions tailored to business needs
  • Optimize AI agents for performance, reliability, and scalability within enterprise environments
  • Build and integrate ontologies and knowledge graphs into AI workflows to enhance data organization, retrieval, and reasoning
  • Apply semantic technologies to enable AI agents to operate within structured business contexts
  • Work closely with data analysts, data scientists, and application developers to integrate AI agents into end-to-end solutions
  • Utilize tools like Microsoft Semantic Kernel to enable seamless AI collaboration across workflows
  • Stay updated on advancements in generative AI, multi-agent systems, and related technologies
  • Explore innovative techniques and tools to improve AI agent capabilities and performance
  • Document AI agent development processes, workflows, and integration strategies
  • Share insights and best practices with team members and stakeholders

Requirements:

  • Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, or a related field
  • 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
  • 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

Nice to have:

  • A PhD is a strong asset
  • Prior experience with Microsoft Semantic Kernel or similar tools is a strong asset
  • 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
What we offer:
  • Insurance plans (Dental, medical, life insurance, disability, and more)
  • Competitive base salary
  • Retirement savings plan
  • Employee Assistance Program
  • Tele Health Program

Additional Information:

Job Posted:
December 27, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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