About the job
Amazon's Devices & Services Trust CX Innovations team builds responsible AI for consumer devices. We deliver privacy-first, accessible, and trustworthy AI experiences across Amazon's device ecosystem—Alexa, Echo, and ambient computing products. Our mission: push the boundaries of generative AI innovation while maintaining Amazon's high bar for customer trust, privacy, inclusion, and accessibility.
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
Qualifications
Minimum
3+ years of non-internship professional software development experience
2+ years of non-intternship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
1+ years of software development engineer or related occupational experience
1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
1+ years of Object Oriented Design experience
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
Experience programming with at least one software programming language
Preferred
3+ 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