Software Engineer II, Privacy-First AI for Trusted Devices

Amazon; Bellevue (WA); On-site; USD 143,700 - 194,400; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking an experienced software architect to advance privacy-preserving AI across Alexa, Echo, and ambient devices. You will balance on-device and cloud processing, design federated learning and differential privacy solutions, and build measurable safety and trust metrics for multimodal interfaces.

The role emphasizes accessibility, privacy controls, and compliance with WCAG 2.1 AA/Section 508 while delivering scalable AI that serves millions of customers daily.

Qualifications

• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
• Experience programming with at least one software programming language.

Responsibilities

• Architect on-device vs. cloud processing trade-offs that optimize for privacy and performance.
• Design and implement federated learning and differential privacy techniques for hybrid AI architectures.
• Develop AI evaluation frameworks to measure model quality, safety, and bias across diverse customer populations.
• Build observability and monitoring systems for AI performance, hallucination detection, and trust metrics.
• Implement WCAG 2.1 AA and Section 508 compliance for AI-powered interfaces across voice, visual, and multimodal experiences.
• Create explainable AI interfaces and transparency controls that show customers what data is used and how.
• Build privacy dashboards and consent management frameworks that give customers control.

Skills

C#

C++

Java

Perl

Object Oriented Design

Software Architecture

Distributed Systems

Education

Bachelor's degree in Computer Science or Engineering

Job description

Amazon.com Services LLC is seeking an experienced software architect to advance privacy-preserving AI across Alexa, Echo, and ambient devices. You will balance on-device and cloud processing, design federated learning and differential privacy solutions, and build measurable safety and trust metrics for multimodal interfaces.

The role emphasizes accessibility, privacy controls, and compliance with WCAG 2.1 AA/Section 508 while delivering scalable AI that serves millions of customers daily.