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 dives

Define model architectures, feasibility, and success metrics

Design vector database ingestion pipelines for RAG

Develop prompts and orchestration workflows using AI frameworks





Implement MLOps deployment and production monitoring practices

Requirements

11+ years in information technology, software engineering, or data science

3–5 years focused on AI/ML engineering or architecture

Advanced Python proficiency with relevant machine learning libraries

Experience with Azure AI Studio, AWS Bedrock, or Google Vertex AI

Knowledge of responsible AI, security, SQL, and data modeling

Apply your Generative AI, RAG, Python, and MLOps expertise to production solutions at Celestica in Toronto.

📌 Senior Generative AI Solutions Engineer (Winnipeg)
🏢 Celestica International
📍 Winnipeg