Senior AI Platform Engineer — Scalable ML & LLM Pipelines

Amazon; Vancouver; On-site; CAD 120,000 - 170,000; Full time

Benefits offered by this job

Health insurance

RRSP

DPSP

Paid time off

Job summary

Amazon is seeking a Machine Learning Engineer for the Data Intelligence team within Amazon Customer Service. You will design and build robust AI/ML systems and infrastructure, architect end-to-end AI pipelines, and deploy production-grade AI services including generative AI, LLMs, and intelligent agents.

You will work with scientists, product managers, and data engineers to scale AI workloads, govern models, and deliver AI-powered products that support customer service at a global scale.

Qualifications

• 3+ years contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling).
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution.
• Experience in ML, data mining, information retrieval, statistics or NLP.

Responsibilities

• Design and implement enterprise-scale AI/ML pipelines and model serving infrastructure for low-latency inference.
• Architect AI platform infrastructure covering training environments, feature stores, validation and deployment.
• Develop and deploy generative AI solutions including LLMs, RAG systems, AI agents, and automation workflows.

Skills

Systems architecture

ML fundamentals

NLP/IR basics

Education

Master's degree in Computer Science or equivalent

Tools

GPUs

Neural acceleration hardware

TensorFlow/PyTorch

Job description

Amazon is seeking a Machine Learning Engineer for the Data Intelligence team within Amazon Customer Service. You will design and build robust AI/ML systems and infrastructure, architect end-to-end AI pipelines, and deploy production-grade AI services including generative AI, LLMs, and intelligent agents.

You will work with scientists, product managers, and data engineers to scale AI workloads, govern models, and deliver AI-powered products that support customer service at a global scale.