Sr. Software Engineer, AI Trust and Innovation

We are seeking an exceptional Software Development Engineer III to build the foundational systems and consumer-facing features that enable trustworthy, accessible AI experiences at scale. You will partner closely with our Product Manager-Technical to design and implement AI-driven operational tooling, provable data-governance 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-reducing operational burden through automation, making data classified, controlled and provably compliant, and ensuring the experiences we ship work for every customer.

Key job responsibilities

What You'll Build

Data Governance - Classified, Controlled & Provably Compliant:

- Build data-classification and tagging systems that identify and label sensitive data at scale without linear headcount growth

- Design redaction, filtering, and crypto-shredding / delete-by-key pipelines that enforce data-handling restrictions provably and at runtime

- Create data-minimization and access-control frameworks that let the business demonstrate compliance on demand

- Operate and harden live production governance systems, instrumenting them so compliance posture is measurable and auditable

AI Enablement Systems:

- Build AI-powered metrics and conversational agents that give the org self-serve program health, root-cause analysis, and LLM-generated summaries across trust, privacy, and OE metrics

- Design config-driven agent frameworks (tool-calling, action groups, investigation protocols) so new capabilities and metrics onboard without code changes

- Develop debugging and log-traceability agents that trace an interaction end-to-end across every service component, so engineers debug in minutes instead of hunting logs per system

- Architect agent authentication and token-propagation (e.g. user-identity / Midway into agent tool calls) that is secure by design

Inclusive Experience - Accessibility by Design:

- Develop accessibility features for AI experiences that work across diverse abilities, contexts, and modalities from the start rather than as an afterthought

- Build the instrumentation that measures accessibility coverage and adoption so inclusive experiences are tracked like any other first-class metric

- Create cross-device, multimodal interfaces (text, voice, visual) that preserve a consistent, inclusive experience across surfaces

- Partner with UX and research to turn inclusive-design principles into shipped, measurable product capabilities

Key Technical Challenges

- Automation vs. Accuracy: Drive operational burden down through AI automation while keeping leadership-facing metrics and root-cause output correct and trustworthy

- Governance at Scale: Classify and control sensitive data across high scale volume without linear headcount growth, and prove compliance rather than assert it

- End-to-End Observability: Trace interactions across many distributed service components with low latency, surfacing the right context for fast debugging

- Multimodal & Inclusive Systems: Architect systems that handle text, voice, and visual inputs while delivering an accessible experience across modalities and devices

What Makes You Successful

Customer 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 Us

- Work 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

A day in the life

You will be working with a group of talented engineers and scientists on running experiments to test scientific proposal/solutions to improve our trust-preserving experiences. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership.

About the team

Who We Are:

Trust CX Innovations is a strategic innovation team within Amazon Devices & Services that focuses on advancing AI technology while prioritizing customer trust and experience. Our team operates at the intersection of artificial intelligence, privacy engineering and customer-centric design.

Basic qualifications

- 5+ years of non-internship professional software development experience

- 5+ years of programming with at least one software programming language experience

- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

- Experience as a mentor, tech lead or leading an engineering team

Preferred qualifications

- 5+ 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

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.