Architect Generative AI and machine learning solutions in Toronto while translating business challenges into production-ready technical designs. Lead requirements, RAG, and model architecture decisions. Celestica seeks a technically proficient Senior AI Engineer for its Data & Analytics team. You will liaise with business stakeholders and technical AI specialists, defining requirements and scalable architectures. Your work spans LLMs, SLMs, traditional machine learning, vector databases, prompts, and orchestration workflows. Key Responsibilities:
Elicit technical requirements through stakeholder workshops and deep dives Define model architectures, feasibility, and success metrics Design vector database ingestion pipelines for RAG Develop prompts and orchestration workflows Implement MLOps, monitoring, and deployment practices Requirements:
11+ years in information technology, software engineering, or data science 3–5 years focused on AI or machine learning engineering Advanced Python, NumPy, Pandas, PyTorch, or TensorFlow proficiency Strong Generative AI, LLM, and vector database understanding Experience with Azure AI Studio, AWS Bedrock, or Google Vertex AI Apply your AI architecture, Python, Generative AI, and RAG expertise to Celestica’s Toronto-based Data & Analytics work.
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Senior Generative AI Solutions Engineer in 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.
