Generative AI Data Platform Engineer

Amazon Jobs; Bellevue (WA); On-site; USD 144,000 - 194,000; Full time

Job summary

Amazon’s Artificial General Intelligence team in Bellevue, WA, seeks a Software Development Engineer to build scalable data platforms for evaluation and training of large language models and generative AI systems.

You will partner with scientists and ML engineers to transform heterogeneous data into standardized, high-quality datasets for downstream workflows, contributing to next-generation AI foundations.

Qualifications

• 3+ years of non-internship professional software development experience.
• 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• 3+ years of Object Oriented Design experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Responsibilities

• Quickly learn and apply emerging technologies, methodologies, and best practices in Generative AI, data processing, and large-scale model development.
• Design, build, and maintain scalable platforms and infrastructure for discovering, scanning, processing, curating, and delivering data used to support LLM evaluation, training, and model improvement.
• Develop systems and mechanisms to identify useful evaluation data produced by partner teams, understand its characteristics and usability, and make relevant data easier to discover, standardize, validate, and consume.
• Expand the breadth and quality of data available for model development, including evaluation datasets, long-context data, training data, and other high-value data sources.
• Build scalable capabilities to transform heterogeneous data from different sources and formats into standardized, high-quality datasets that can be reliably consumed by downstream evaluation and training workflows.
• Partner closely with Applied Scientists, ML Engineers, evaluation teams, and other engineering teams to understand data needs, identify gaps in available data, and translate those needs into scalable data solutions.
• Investigate design approaches, prototype new technologies, evaluate technical feasibility, and drive data infrastructure solutions from concept to production.
• Build reliable, high-quality data discovery and processing pipelines that operate at massive scale while improving data quality, coverage, observability, efficiency, and developer productivity.
• Influence technical architecture and establish engineering best practices for data discovery, curation, transformation, and delivery across Generative AI model development workflows.

Skills

Software development

Software architecture

Large-scale systems

OO design

Education

Bachelor's degree

Tools

C#

C++

Java

Perl

Job description

Amazon’s Artificial General Intelligence team in Bellevue, WA, seeks a Software Development Engineer to build scalable data platforms for evaluation and training of large language models and generative AI systems.

You will partner with scientists and ML engineers to transform heterogeneous data into standardized, high-quality datasets for downstream workflows, contributing to next-generation AI foundations.