Design Generative AI and machine learning solutions as a Senior AI Engineer with Celestica’s hybrid Data & Analytics team in Toronto. This senior role connects business stakeholders with technical AI teams across Celestica. You will scope use cases, architect production-ready solutions, and collaborate with the Data Center of Excellence. Your work spans LLMs, RAG patterns, vector databases, and MLOps practices. Key Responsibilities:
Document AI requirements through stakeholder workshops and technical deep dives Define model architectures, feasibility, and success metrics Design vector database ingestion pipelines and embedding strategies Develop prompts and orchestration workflows using AI frameworks Monitor model performance, drift, and hallucination rates Requirements:
11+ years in Information Technology, Software Engineering, or Data Science 3-5 years focused on AI or machine learning engineering Advanced Python and relevant machine learning library proficiency Generative AI, LLM, prompt engineering, and vector database knowledge Bachelor’s or Master’s degree in a related field Apply senior AI architecture, Generative AI, Python, and RAG expertise to Celestica’s production-focused Toronto engineering work.
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Senior Generative AI Engineer Toronto employer: Celestica
Celestica is an exceptional employer that fosters a dynamic work culture focused on innovation and collaboration, particularly in the vibrant tech hub of Toronto. As a Senior Manager in Supply Chain Analytics & Data Intelligence, you will not only lead a talented team but also have access to extensive professional development opportunities, ensuring your growth in a rapidly evolving field. With a commitment to diversity and inclusion, Celestica offers a supportive environment where your contributions directly impact strategic decision-making and operational excellence.
