Sr. Trust and Privacy Engineer, Devices & Services Trust, Privacy, and Accessibility; TPA
Listed on 2026-01-19
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IT/Tech
Cybersecurity, Systems Engineer, Data Security, AI Engineer
Devices & Services Trust, Privacy and Accessibility (DSTPA) is responsible for maintaining and raising the trust bar for Amazon customers across a diverse set of 30+ Devices and Services. We offer horizontal services for builders to ensure trust, privacy, and accessibility is built into our products and services. We also build customer-facing capabilities that provide customers with control and transparency while reducing trust busting risks, and enable partner teams to innovate with appropriate guardrails for content moderation, privacy, customer promises, accessibility, fairness, and trust.
The DSTPA team is seeking an exceptional Senior Trust and Privacy Engineer to architect and scale Gen AI-powered platforms and paved-path solutions that champion trustworthy customer experiences, privacy-by-design and default, and organizational trust s role will serve as a technical leader, setting the standard for how trust and privacy technologies are realized across D&S, and driving end-to-end adoption of trust solutions that make trustworthy customer experiences the 'easy' and automatic choice for D&S teams.
The ideal candidate will excel at navigating complex trust scenarios independently, developing scalable privacy frameworks for emerging technologies like GenAI and Ambient Computing, and collaborating with cross-functional stakeholders to deliver innovative solutions that balance customer trust, user experience, and business objectives across our global customer base.
Key job responsibilities AI/ML & Generative AI Innovation- Design and implement LLM-powered solutions for automating complex trust and privacy analysis tasks, including policy interpretation, customer promises automation, risk assessment workflows, and compliance gap identification
- Develop sophisticated prompt engineering strategies enabling LLMs to perform trust-related reasoning tasks such as analyzing architectures and system design, generating control recommendations, and automating trust by design assessments
- Build Gen AI-powered platforms enabling builders to seamlessly embed trust requirements into their products by default; optimize and fine-tune LLM models for trust-specific use cases
- Architect, build, and scale trust tooling integrated with Amazon-wide engineering platforms, including Gen AI orchestration, authentication systems, security monitoring, and audit automation
- Design advanced generative AI tools and paved-path solutions that proactively guide builders toward trust-first decisions in their workflows
- Lead cross-functional efforts with senior engineering, science, trust CX, privacy, and product leaders to define best practices, roadmap priorities, and success metrics
- Identify and assess customer trust and privacy risks throughout product lifecycle through thorough technical risk assessments and threat modeling
- Develop, implement, and maintain technical and procedural controls, including secure coding practices, identity management, data minimization, and other privacy enhancing technologies
- Build highly-usable, scalable infrastructure and automation helping teams identify and remediate potential trust risks
- Collaborate with legal, compliance, engineering, and product teams to bridge policy and technical implementation gaps
- Support deployment of standardized, scalable "paved paths" preventing recurrence of known risks; create centralized tooling enabling rapid movement while meeting trust obligations
This is an inherently cross-functional role requiring direct collaboration with product, legal, policy, risk, science, UX, and engineering teams to gather insights, clarify trust requirements, and uncover opportunities. You'll participate in frequent brainstorming sessions to shape new ideas, solve complex trust problems, and address system design issues that deliver both immediate impact and long-term success. As a technical leader, you'll drive architectural decisions influencing how millions of customers experience transparency, respect, and trust with Amazon's AI offerings.
You'll work on the hardest problems, building…
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