Sr. Software Development Engineer, Devices

Sr.Software Development Engineer, Devices & Services Trust CX InnovationsJob ID: ******* | Amazon.com Services LLCAbout the TeamAmazon's Devices & Services Trust CX Innovations team is building the future of responsible AI for consumer devices.We deliver privacy-first, accessible, and trustworthy AI experiences that millions of customers use daily across Amazon's device ecosystem—including Alexa, Echo, and other ambient computing products.Our mission is to ensure that as we push the boundaries of generative AI innovation, we maintain Amazon's high bar for customer trust, privacy, inclusion, and accessibility.Role OverviewWe are seeking an exceptional Software Development Engineer III to build the foundational systems and consumer-facing features that enable trustworthy AI experiences at scale.You will partner closely with our Product Manager-Technical to design and implement privacy-preserving AI architectures, responsible AI frameworks, and accessibility features that set the standard for consumer AI products.This is a high-impact role where you'll tackle complex technical challenges at the intersection of AI innovation and customer trust—balancing performance with privacy, building explainable AI systems, and creating guardrails that protect customers while enabling delightful experiences.What You'll BuildPrivacy-Preserving AI SystemsDesign and implement federated learning and differential privacy techniques for on-device and hybrid AI architecturesBuild privacy-preserving data pipelines that minimize data collection while maintaining model qualityCreate consent management frameworks and data minimization systems that give customers controlArchitect on-device vs. cloud processing trade-offs that optimize for both privacy and performanceResponsible AI InfrastructureDevelop AI evaluation frameworks to measure model quality, safety, and bias across diverse customer populationsImplement guardrails and safety boundaries for LLMs and foundation models in consumer applicationsBuild observability and monitoring systems for AI performance, hallucination detection, and trust metricsCreate human-in-the-loop review systems and escalation pathways for edge casesAccessible & Inclusive AI ExperiencesImplement WCAG 2.1 AA and Section 508 compliance for AI-powered interfaces across voice, visual, and multimodal experiencesBuild accessible AI features that work seamlessly for customers with diverse abilitiesDesign inclusive AI systems that perform equitably across different demographics and use casesConsumer-Facing Trust FeaturesDevelop explainable AI interfaces that help customers understand how AI makes decisionsBuild transparency controls that show customers what data is used and howCreate privacy dashboards and settings that give customers meaningful control over their AI experiencesImplement cross-device identity management with privacy-first design principlesKey Technical ChallengesLatency vs. Privacy Trade-offs: Optimize time-to-first-token and response times while maintaining strong privacy guarantees through on-device processing and selective cloud offloading.AI Safety at Scale: Reduce hallucinations toAmbient 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.Real-time Evaluation: Create low-latency evaluation systems that assess model outputs for safety, accuracy, and bias before reaching customers.What Makes You SuccessfulCustomer Obsession for Trust: You deeply understand that trust is earned through consistent, transparent, and privacy-respecting experiences.You make technical decisions that prioritize customer trust even when it means additional complexity.Technical Excellence: You have strong computer science fundamentals and practical experience building distributed systems.You write clean, maintainable code and establish best practices that enable your team to move fast without breaking things.AI & Privacy Expertise: You understand both the capabilities and limitations of modern AI systems.You know how to implement privacy-preserving techniques without sacrificing user experience.Bias for Action: You thrive in ambiguous environments where you need to make pragmatic trade-offs between innovation and safety.You ship iteratively and learn from customer feedback.Collaboration & Communication: You partner effectively with product managers, UX designers, data scientists, and other engineers.You can explain complex technical concepts to non-technical stakeholders and influence architectural decisions across teams.Inclusive Mindset: You design systems that work for all customers, considering diverse abilities, contexts, and use cases from the start rather than as an afterthought.Why Join UsWork on generative AI technology that impacts millions of customers daily.Shape the future of responsible AI and set industry standards for privacy and trust.Partner with world-class product, design, and research teams.Solve novel technical challenges at the intersection of AI innovation and customer protection.Build systems that make AI accessible and trustworthy for everyone.Basic Qualifications5+ years of non-internship professional software development experience.5+ years of programming with at least one software programming language.5+ years of leading design or architecture of new and existing systems (design patterns, reliability, and scaling).Experience as a mentor, tech lead, or leading an engineering team.5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.Bachelor's degree in computer science or equivalent.5+ years of cloud-based solution (AWS or equivalent), system, network, and operating system experience.Preferred QualificationsMaster's degree in computer science or equivalent.The base salary range for this position is 168,************,****** USD annually.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 also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional supplemental life plans), EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, and adoption and surrogacy reimbursement coverage.401(k) matching, paid time off, and parental leave are also provided.Learn more about our benefits at .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 for more information.If the country/region you're applying in isn't listed, please contact your Recruiting Partner.#J-*****-Ljbffr