AI Platform Engineer - Multi-Agent ML Orchestration

Amazon Inc.; Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Job summary

Amazon.com Services LLC in Seattle, WA is seeking a Software Development Engineer for Adaptive Search Relevance. You will help build a multi-agent orchestration platform that autonomously executes research workflows from hypothesis through production deployment, with fault tolerance and security compliance.

The role focuses on AI-first systems, large-scale ML infrastructure, and improving search relevance for hundreds of millions of shoppers, collaborating across scientists and engineers to

Qualifications

• 3+ years of professional software development experience.
• 2+ years in design or architecture of systems.
• 1+ years SDE or related occupational experience.
• 1+ years designing and developing large-scale, multi-tiered software apps, tools, services.
• 1+ years of Object Oriented Design experience.
• Experience programming with at least one programming language.

Responsibilities

• Build and scale a multi-agent orchestration platform for research workflows.
• Develop AI-first Auto Research systems to parallelize hypothesis testing.
• Own platform reliability and developer experience, incl. multi-tenant GPU scheduling and observability.
• Productionize LLM/VLM models focusing on efficiency and low-latency serving.
• Collaborate with scientists to design data pipelines for large datasets and scaling ML/LLMs.
• Provide architectural guidance to ensure improvements in customer-perceived relevance.

Skills

3+ years of professional software

2+ years design/architecture

1+ years SDE experience

1+ years distributed software

1+ years OO design

experience with at least one language

Education

Bachelor's degree in computer science or equivalent

Tools

C#

C++

Java

Perl

Job description

Amazon.com Services LLC in Seattle, WA is seeking a Software Development Engineer for Adaptive Search Relevance. You will help build a multi-agent orchestration platform that autonomously executes research workflows from hypothesis through production deployment, with fault tolerance and security compliance.

The role focuses on AI-first systems, large-scale ML infrastructure, and improving search relevance for hundreds of millions of shoppers, collaborating across scientists and engineers to