Senior GenAI Platform Engineer — Scalable AI Systems

Amazon Web Services (AWS); Santa Clara (CA); On-site; USD 193,000 - 262,000; Full time

Job summary

Amazon.com Services LLC is seeking a Software Development Engineer for the Quick team to design, develop, and optimize core platform components powering AI-driven enterprise productivity. You will work on scalable, fault-tolerant systems and mentor engineers, influencing business impact and technology direction across the Gen AI landscape.

You will collaborate with AI/ML practitioners and solution architects to tackle hard engineering challenges, delivering features that unify data sources and

Qualifications

• 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.
• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
• Bachelor's degree in computer science or equivalent.

Responsibilities

• In this role, you will build features in Amazon Quick that is going to be trend setting in the Gen AI field.
• You will deliver large scalable systems, design new software systems and have a significant bottom-line impact on our business and competitive position.
• You will mentor engineers and provide leadership on complex technical issues.
• You will draw from a deep and broad technical expertise to guide project decisions and architecture.

Skills

Senior software development

Leadership

Mentorship

Machine learning experience

Education

Bachelor's degree in computer science or equivalent

Job description

Amazon.com Services LLC is seeking a Software Development Engineer for the Quick team to design, develop, and optimize core platform components powering AI-driven enterprise productivity. You will work on scalable, fault-tolerant systems and mentor engineers, influencing business impact and technology direction across the Gen AI landscape.

You will collaborate with AI/ML practitioners and solution architects to tackle hard engineering challenges, delivering features that unify data sources and