Sr. Software Engineer, AI Trust and Innovation

Amazon is hiring a Sr. Software Engineer, AI Trust and Innovation in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this software engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions AI automation and AI safety among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.
Posted in the last few days.

AI in this role

ai-automationai-safety

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.

How we rate this

Sr. Software Engineer, AI Trust and Innovation at Amazon rates 73 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr. Software Engineer, AI Trust and Innovation is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in IN, KA, Bengaluru.
The job was posted on November 10, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI AutomationAI Safety

Also common in software engineer jobs at this level

Python AWS Java AI agents Kubernetes TypeScript

Pay

Typical software engineer job: $167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

Tell me about a workflow you automated with AI tools, end to end.
How do you think about the risk of an AI system in this kind of role failing silently?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: AI Automation and AI Safety. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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