Senior ML Data Platform Architect

Amazon

Seattle (WA)

On-site

USD 168,000 - 227,000

Full time

12 hours ago

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Job summary

Amazon.com Services LLC in Seattle is seeking a Sr. SDE to build AI-powered data preparation systems in SageMaker. You’ll deliver auto-labeling with LLM-as-Judge, human verification, and scalable data-quality workflows.

Collaborate with ML science teams to push the boundaries of ML data. You will mentor engineers, lead design reviews, and own technical roadmaps, designing distributed systems and secure software at world-class scale.

Qualifications

5+ years of non-internship professional software development experience.
5+ years programming with at least one software programming language experience
5+ years leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team.

Responsibilities

Data Preparation Platform: Design and deliver core components of data preparation journey to customize and fine-tune LLMs in SageMaker, designing systems that provide customers with high-quality, reliable data for their ML workflows.
Drive Innovation in Data Preparation: Build and scale systems leveraging auto-labeling and LLM-as-Judge techniques to automatically detect, diagnose, and remediate data quality issues.
Agent & Model Quality: Establish quality standards and evaluation frameworks for AI agents and models, implementing continuous improvement processes.
Human-in-the-Loop Services: Lead the evolution of HITL suite, enabling seamless human feedback loops for data labeling, annotation quality assurance, and ground truth generation.
Technical Leadership: Mentor engineers, drive design reviews, and raise the engineering quality bar across the team. Influence technical direction without formal authority.
Architecture & Strategy: Make high-judgment architectural decisions across distributed systems, data processing, and ML infrastructure. Own the technical roadmap for your area.