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Software Development Engineer II, Devices & Services Trust CX Innovations
Amazon.comUnited Statesfull_timeVerifiedPosted 4 May 2026
💰 $194,400/yr($143,700/yr – $194,400/yr)
About the role
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.
Key job responsibilities
What You'll Build
- 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
Key Technical Challenges
- Latency vs. Privacy: Optimize response times while maintaining strong privacy guarantees through on-device processing and selective cloud offloading
- AI Safety at Scale: Reduce hallucinations to <1% while maintaining 95%+ accuracy across diverse customer queries
- Ambient Computing Privacy: Build privacy controls for always-on environments that balance proactive assistance with clear boundaries
- Multimodal AI Systems: Architect distributed systems that handle text, voice, and visual inputs while preserving privacy across modalities
What Success Looks Like
- 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
Why Join Us
- Shape the future of responsible AI and set industry standards for privacy and trust
- Work on generative AI technology that impacts millions of customers daily
- Solve novel technical challenges at the intersection of AI innovation and customer protection
- 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
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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.
Key job responsibilities
What You'll Build
- 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
Key Technical Challenges
- Latency vs. Privacy: Optimize response times while maintaining strong privacy guarantees through on-device processing and selective cloud offloading
- AI Safety at Scale: Reduce hallucinations to <1% while maintaining 95%+ accuracy across diverse customer queries
- Ambient Computing Privacy: Build privacy controls for always-on environments that balance proactive assistance with clear boundaries
- Multimodal AI Systems: Architect distributed systems that handle text, voice, and visual inputs while preserving privacy across modalities
What Success Looks Like
- 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
Why Join Us
- Shape the future of responsible AI and set industry standards for privacy and trust
- Work on generative AI technology that impacts millions of customers daily
- Solve novel technical challenges at the intersection of AI innovation and customer protection
Basic Qualifications
- 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
Preferred Qualifications
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon als
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