Amazon
Sr. Software Dev Engineer, SageMaker AI
$168K–$227K
Seattle, WA · Senior · Full-time · Posted Aug 8, 2026
- Experience
- 5+ years for each of the three specified software development, programming, and design/architecture experience areas; leadership experience also required.
- Education
- Bachelor's degree in computer science or equivalent (preferred).
About the job
Build and lead SageMaker data preparation systems that use AI labeling, evaluation, and human feedback to improve data quality for machine learning workflows.
What you'll do
- Design and deliver data preparation platform components for customizing and fine-tuning LLMs in SageMaker.
- Build auto-labeling, LLM-as-Judge, and human-in-the-loop systems; establish evaluation and continuous-improvement frameworks for agents and models.
- Lead technical direction, architecture, design reviews, and mentorship across distributed systems, data processing, and ML infrastructure.
What they ask for
- 5+ years of non-internship professional software development experience.
- 5+ years of programming experience with at least one software programming language.
- 5+ years leading design or architecture of new and existing systems, including design patterns, reliability, and scaling.
- Experience as a mentor, tech lead, or leader of an engineering team.
Nice to have
- 5+ years of full software development life cycle experience.
- Bachelor's degree in computer science or equivalent; experience building ML pipelines, data processing systems, or evaluation infrastructure at scale; hands-on LLM experience.
Pay
168,100.00 - 227,400.00 USD annually (base salary)
Tools
SageMaker, LLMs, ML pipelines
AI focus
Develop AI-powered data preparation, auto-labeling, LLM-as-Judge evaluation, AI agent and model quality frameworks, and human-in-the-loop feedback for ML data.
Model-written summary · the original posting is authoritative