Senior Machine Learning Engineer, GenAIUX

Overview

Description

Help shape new Generative AIUX products for AWS customers. Our team builds Generative AIUX cloud products that transform how customers design. We deliver a shared platform across multiple products and work on AI-powered tools that use Design Systems to build interfaces and accelerate design, development, and validation workflows. The two products you will be working on are Venue and Project Arena.

Venue is an AI-powered internal prototyping tool that helps AWS builders create new features using the AWS Cloudscape Design system. Arena is an external version of the tool that helps scale this offering to all of Amazon and to external customers with a focus on 0-1 rapid prototyping.

AIUX is the intersection of Artificial Intelligence and User Experience, focusing on trust, transparency, and user control to create productive, engaging, and efficient user experiences. The ideal candidate will bring expertise in generative and agentic AI and data analysis to create intelligent and transformative AI applications.

• Backend Integration (AI-Focused):
  Integrate with systems to manage asynchronous data flows from LLMs (Large Language Models) and other AI services.
• Optimize Performance:
  Ensure maximum speed and responsiveness of AI-driven interfaces, particularly with large datasets or real-time streaming output.
• Design and own end-to-end systems, spanning backend services, APIs, data storage, and frontend integration.
• Build and evolve GenAI-powered services that support design generation, validation, and automation workflows.
• Contribute to long-term technical vision and architecture decisions.
• Balance short-term delivery with scalable, maintainable system design.
• Work with internal teams to understand needs and translate them into robust solutions.
• Contribute to hiring, mentor junior engineers, and raise the overall engineering bar.

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of 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
• Experience with emerging generative and agentic technologies
• Experience in machine learning and data science

• Bachelor s degree in computer science or equivalent
• Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Experience with agentic orchestration
• Prior experience working with AWS applications, a plus
• Experience with Bedrock, Kiro, or Claude a plus

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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