Machine Learning Engineer, Gen AI Innovation Center, AWS

Overview

The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to develop and deploy generative AI applications at scale.

Responsibilities

Design, develop, deploy, and optimize generative AI solutions built on AWS services

Develop responsive, intuitive user interfaces using modern front-end technologies (e.g., React, JavaScript)

Collaborate with enterprise customers to understand business and technical challenges, co-developing tailored generative AI solutions

Translate prototypes into production-ready, scalable systems

Build high-impact Gen AI solutions to deliver to a large customer base

Participate in design discussions, code reviews, and communicate with internal and external stakeholders

Work cross-functionally to drive business solutions with technical input

Work in a startup-like development environment, focusing on the most important work

Qualifications

Basic Qualifications

3+ years of non-internship professional software development experience

Bachelor's degree in computer science or equivalent

Experience designing or architecting (design patterns, reliability, scaling) of new and existing systems

Experience with Gen AI implementation including front-end development (HTML, CSS, JavaScript, React), back-end model integration and API design

Preferred Qualifications

3+ years of full stack development experience

Experience building complex software systems delivered to customers

Hands-on experience with prompt engineering, vector database, retrieval augmented generation (RAG), agentic AI, guardrails, and other Gen AI toolings and patterns

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. For more information about accommodations during the application process, visit the AWS accommodations page.

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