Senior Generative Ai Solutions Engineer

Design Generative AI and machine learning solutions in Toronto while connecting business stakeholders with Celestica’s technical AI team.As a Senior AI Engineer, you will scope use cases, define technical requirements, and architect production-ready solutions. Your work spans LLMs, RAG patterns, vector databases, Python, and cloud AI services. You will collaborate with the Data Center of Excellence to support operational efficiency across Celestica.Key Responsibilities:
Elicit technical requirements through stakeholder workshops and deep divesDefine model architectures, feasibility, and success metricsDesign vector database ingestion pipelines for RAGDevelop prompts and orchestration workflows using AI frameworksImplement MLOps deployment and production monitoring practicesRequirements:
11+ years in information technology, software engineering, or data science3–5 years focused on AI/ML engineering or architectureAdvanced Python proficiency with relevant machine learning librariesExperience with Azure AI Studio, AWS Bedrock, or Google Vertex AIKnowledge of responsible AI, security, SQL, and data modelingApply your Generative AI, RAG, Python, and MLOps expertise to production solutions at Celestica in Toronto.
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