Lead generative AI engineering in Toronto with Python, React, AWS, and scalable architectures across products, pilots, and solutions.

GlobalLogic seeks a Lead AI Engineer to develop maintainable AI products and shape technical direction. You will build LLM pipelines, Agentic, MCP, and Graph/RAG architectures with LangChain, LlamaIndex, or Amazon Bedrock. The work includes cloud-native delivery, experimentation, and collaboration with product managers, data scientists, and domain experts.

Key Responsibilities:

- Lead development of AI products, pilots, and solutions
- Design scalable Gen AI and LLM architectures
- Implement AWS solutions using EKS, Lambda, and Fargate
- Optimize performance and monitor operational metrics
- Own delivery through Agile timelines and milestones

Requirements:

- Six-plus years of progressive engineering experience
- One to two years leading AI or emerging initiatives
- Python, React, AWS, and containerized deployment experience
- Knowledge of GPT, Claude, Gemini, and LLaMA models
- Bachelor's or Master's degree in a related field

Bring technical leadership, Gen AI architecture, AWS delivery, and Python development to GlobalLogic's Toronto engineering work.

📌 Lead Generative AI Engineer Toronto
🏢 GlobalLogic
📍 Toronto