SDE, Responsible AI

Written by the T&S Network from Amazon's posting.

Builds the platform that discovers and catalogs AI systems across Amazon's infrastructure and maps them against regulatory risk frameworks and internal compliance requirements. Sits on the Responsible AI team, a small senior group building AI governance tooling from scratch to give leadership real-time visibility into compliance across thousands of AI systems.

• Privacy and doxxing

What you'd do

• Write services that find and inventory AI systems running across Amazon's infrastructure
• Create pipelines that score AI systems against regulatory frameworks and internal compliance rules
• Build self-service tools so builder teams can show they meet responsible AI standards
• Construct the hosting and scaling layer for ML compliance workflows from the Applied Science team
• Keep the systems feeding regulatory reports reliable and operationally sound

What it asks for

• Over three years of paid software development experience outside internships
• Over two years designing and architecting new and existing systems, including patterns, reliability and scale
• 1+ years developing large-scale distributed software in C#, C++, Java, or Perl
• 1+ years of object-oriented design experience
• Full software development lifecycle experience including code reviews, testing, and operations (preferred)
• Degree in computer science or a comparable field (preferred)
• Working knowledge of ML and LLM basics such as transformer design and training and inference lifecycles (preferred)

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Amazonnorth_east before you apply. If we got something wrong, report this listing.