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Description

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 trustbusting 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 at scale. This 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

Technical Leadership & Architecture

- 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

Trust Engineering

- 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

Collaboration & Operational Excellence

- 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

A day in the life

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 high-quality, architecturally sound systems aligned with business needs while thinking globally to ensure scalable solutions. The solutions you build will make privacy and trust accessible, intuitive, and scalable—not an afterthought, but the foundation of delightful Amazon experiences.

About the team

Trust Fundamentals (TrustFun) within DSTPA is a “horizontal” organization responsible for building technologies, programs, and services at Amazon scale that instill and grow customer trust, create mechanisms to confidently attain existing and ever-evolving regulatory objectives, and ensure the efficiency and effectiveness of our business partners and stakeholders to meet their trust obligations without disruption — in that order of priority. The scope of our organization is any solution, privacy policy and promise that is intended to be uniformly adopted and used across all D&S organizations, i.e., creating a fundamental trust platform that supports all of D&S. Our team is dedicated to supporting new members. We have a broad mix of job families, experience levels and tenures, and are building an environment that celebrates subject matter expertise, collaboration, knowledge sharing, and mentorship.

Basic Qualifications

- 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 Qualifications

- 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.