About The Position

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. Build foundational systems and consumer-facing features that enable trustworthy AI experiences at scale. Partner with our Product Manager-Technical to design privacy-preserving AI architectures, responsible AI frameworks, and accessibility features. Tackle complex technical challenges at the intersection of AI innovation and customer trust.

Requirements

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship 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

Nice To Haves

  • 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

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
  • Make technical decisions that prioritize customer trust even when it means additional complexity
  • Write clean, maintainable code and establish best practices that enable the team to move fast
  • Implement privacy-preserving techniques without sacrificing user experience
  • Thrive in ambiguous environments and ship iteratively based on customer feedback
  • Design systems that work for all customers, considering diverse abilities and use cases from the start

Benefits

  • sign-on payments
  • restricted stock units (RSUs)
  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
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