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AI Software Senior Analyst

Bombardier Inc. · Pointe-Claire, Québec, CA, H9R 5Z3 · Canada · Hybrid

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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? Act as the subject matter expert for Methods applications and AI-enabled tools, maintaining a clear view of the organization’s technology landscape. Partner with cross-functional teams (Production, Quality, Methods, Planning, Health & Safety, Customer Delivery) to identify operational needs and opportunities for digital enablement. Lead application portfolio assessments to identify redundancies, gaps, and opportunities to consolidate, standardize, or retire tools. Establish and enforce governance for tool selection and adoption, including the evaluation and approval of any new applications to ensure alignment with enterprise standards and IT strategy. 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. (fix responsibilities so that it's not deployment and desgining but more with feedback above and notes) 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? You have 10+ years of experience in solution architecture, enterprise systems, or application landscape management, including experience with AI and data-driven technologies. You have a Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related technical…