Amazon · 1 day ago
Sr. Trust and Privacy Engineer, Devices & Services Trust, Privacy, and Accessibility (TPA)
United States
Full-time
Remote
Senior Level
$151K/yr - $262K/yr
7+ years expAmazon is responsible for maintaining and raising the trust bar for customers across a diverse set of devices and services. They are seeking a Senior Trust and Privacy Engineer to architect and scale Gen AI-powered platforms, ensuring privacy-by-design and driving the adoption of trust solutions across their teams.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
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
Collaborate with product, legal, policy, risk, science, UX, and engineering teams to gather insights, clarify trust requirements, and uncover opportunities
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
Drive architectural decisions influencing how millions of customers experience transparency, respect, and trust with Amazon's AI offerings
Work on the hardest problems, building high-quality, architecturally sound systems aligned with business needs while thinking globally to ensure scalable solutions
Build solutions that make privacy and trust accessible, intuitive, and scalable—not an afterthought, but the foundation of delightful Amazon experiences
Qualification
Required
Bachelor's degree in computer science or equivalent
7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
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
Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
Broad experience in privacy automation, data governance, privacy threat modeling, privacy regulations (GDPR, CCPA, COPPA, HIPAA), and privacy-enhancing technologies (differential privacy, federated learning, homomorphic encryption)
Proficiency in privacy and trust-enhancing technologies, secure system design, risk management frameworks, regulatory compliance, and AI domain expertise
Strong understanding of LLM/AI/ML technology, AI systems design, and human-centered engineering; ability to translate abstract privacy and trust principles into concrete, scalable engineering solutions
Experience with Large Language Models and Generative AI technologies, including hands-on experience building AI-powered solutions for complex analytical tasks; demonstrated expertise in prompt engineering and LLM optimization for privacy and trust use cases
Excellent cross-functional communication and collaboration skills with legal, business leaders, and product management; demonstrated ability to exercise influence without authority and brief leadership on complex risk tradeoffs
Must be a good human
Must work well with others and be a team player, have high moral standards, lead with integrity and empathy
Benefits
Equity
Sign-on payments
Medical
Financial
Other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-14
2026-01-14
2026-01-14
Company data provided by crunchbase