# Sr. Software Engineer, AI Trust and Innovation at Amazon

Amazon is hiring a Sr. Software Engineer, AI Trust and Innovation in Bengaluru, India. Level rates it Works on AI ●●●○; you can [apply on Amazon](https://jobsbylevel.com/go/34c6604a-ed41-44a5-aff8-1a65506f685e?utm_medium=ai-agent).

AI Level 3, AI centrality 73 out of 100. IN, KA, Bengaluru.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 3 (score 73 out of 100)
- Location: IN, KA, Bengaluru
- Posted: November 10, 2026
- Apply: https://jobsbylevel.com/go/34c6604a-ed41-44a5-aff8-1a65506f685e?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=sr-software-engineer-ai-trust-and-innovation-at-amazon-9329e7

## Prepare for this job

The job page lists 4 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/sr-software-engineer-ai-trust-and-innovation-at-amazon-9329e7

## Description

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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/sr-software-engineer-ai-trust-and-innovation-at-amazon-9329e7

Source: https://jobsbylevel.com/jobs/sr-software-engineer-ai-trust-and-innovation-at-amazon-9329e7

## Cite this page

Level. https://jobsbylevel.com/jobs/sr-software-engineer-ai-trust-and-innovation-at-amazon-9329e7.

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